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Something To Watch Before Buying MongoDB Inc. (NASDAQ:MDB)

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Posted on mongodb google news. Visit mongodb google news

MongoDB Inc. (NASDAQ:MDB) shares traded lower over the last trading session, losing -5.65% on 05/06/21. The shares fell to a low of $251.14 before closing at $256.62. Intraday shares traded counted 1.2 million, which was -38.39% lower than its 30-day average trading volume of 869.76K. MDB’s previous close was $271.99 while the outstanding shares total 60.51M. The firm has a beta of 0.72. The stock’s Relative Strength Index (RSI) is 31.04, with weekly volatility at 5.78% and ATR at 14.59. The MDB stock’s 52-week price range has touched low of $167.88 and a $428.96 high.

Investors have identified the Software – Infrastructure company MongoDB Inc. as an interesting stock but before investments are made there, an in-depth look at its trading activities will have to be conducted. The share is trading with a market value of around $15.86 billion, the company now has both obstacles and catalysts that affect them and they came from their mode of operations. With the company affected by events currently, it is a perfect time to analyze the numbers behind the firm in order to come up with a rather realistic picture of what this stock is.

MongoDB Inc. (MDB) Fundamentals that are to be considered.

When analyzing a stock, the first fundamental thing to take into account is the balance sheet. How healthy the balance sheet of a company is will determine if the company will be able to carry out all its financial and non-financial obligations and also keep the faith of its investors. In terms of their assets, the company currently has 1.14 billion total, with 354.54 million as their total liabilities.

Having a look at the company’s valuation, the company is expected to record -4.91 total earnings per share during the next fiscal year. It is very important though to remember that the importance of trend far outweighs that of outlook. This analysis has been great and getting further updates on MDB sounds very interesting.

Is the stock of MDB attractive?

In related news, Director, MERRIMAN DWIGHT A sold 3,000 shares of the company’s stock in a transaction that recorded on May 03. The sale was performed at an average price of 292.01, for a total value of 876,024. As the sale deal closes, the Director, MERRIMAN DWIGHT A now sold 14,000 shares of the company’s stock, valued at 4,090,250. Also, Director, McMahon John Dennis sold 1,000 shares of the company’s stock in a deal that was recorded on Apr 22. The shares were price at an average price of 300.79 per share, with a total market value of 300,790. Following this completion of acquisition, the President & CEO, Ittycheria Dev now holds 225,000 shares of the company’s stock, valued at 65,188,242. In the last 6 months, insiders have changed their ownership in shares of company stock by 3.20%.

12 out of 17 analysts covering the stock have rated it a Buy, while 4 have maintained a Hold recommendation on MongoDB Inc.. 0 analysts has assigned a Sell rating on the MDB stock. The 12-month mean consensus price target for the company’s shares has been set at $382.33.

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HTAP-Enabling In-Memory Computing Technologies Market In-Depth Analysis including key …

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Posted on mongodb google news. Visit mongodb google news

HTAP-Enabling In-Memory Computing Technologies

North America, Europe, China, Japan, Rest of the World, September 2020, The HTAP-Enabling In-Memory Computing Technologies Market research report includes an in-sight study of the key Global HTAP-Enabling In-Memory Computing Technologies Market prominent players along with the company profiles and planning adopted by them. This helps the buyer of the HTAP-Enabling In-Memory Computing Technologies report to gain a clear view of the competitive landscape and accordingly plan HTAP-Enabling In-Memory Computing Technologies market strategies. An isolated section with top key players is provided in the report, which provides a complete analysis of price, gross, revenue(Mn), HTAP-Enabling In-Memory Computing Technologies specifications, and company profiles. The HTAP-Enabling In-Memory Computing Technologies  study is segmented by Module Type, Test Type, And Region.

The market size section gives the HTAP-Enabling In-Memory Computing Technologies market revenue, covering both the historic growth of the market and the forecasting of the future. Moreover, the report covers a host of company profiles, who are making a mark in the industry or have the potential to do so. The profiling of the players includes their market size, key product launches, information regarding the strategies they employ, and others. The report identifies the total market sales generated by a particular firm over a period of time. Industry experts calculate share by taking into account the product sales over a period and then dividing it by the overall sales of the HTAP-Enabling In-Memory Computing Technologies industry over a defined period.

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The research covers the current market size of the Global HTAP-Enabling In-Memory Computing Technologies Market and its growth rates based on 5 year history data. It also covers various types of segmentation such as by geography North America, Europe, Asia-Pacific etc., by product type Global HTAP-Enabling In-Memory Computing Technologies Market, by applications [Application] in overall market. The in-depth information by segments of HTAP-Enabling In-Memory Computing Technologies market helps monitor performance & make critical decisions for growth and profitability. It provides information on trends and developments, focuses on markets and materials, capacities, technologies, CAPEX cycle and the changing structure of the Global HTAP-Enabling In-Memory Computing Technologies Market.

This study also contains company profiling, product picture and specifications, sales, market share and contact information of various international, regional, and local vendors of Global HTAP-Enabling In-Memory Computing Technologies Market. The market competition is constantly growing higher with the rise in technological innovation and M&A activities in the industry. Moreover, many local and regional vendors are offering specific application products for varied end-users. The new vendor entrants in the market are finding it hard to compete with the international vendors based on quality, reliability, and innovations in technology.

Global HTAP-Enabling In-Memory Computing Technologies (Thousands Units) and Revenue (Million USD) Market Split by Product Type such as [Type]

The research study is segmented by Application such as Laboratory, Industrial Use, Public Services & Others with historical and projected market share and compounded annual growth rate.
Global HTAP-Enabling In-Memory Computing Technologies (Thousands Units) by Regions (2019-2028)

Market Segment by Regions

2012

2017

2022

2024

CAGR (%) (2019-2028)

North America

xx

xx

xx

xx%

xx%

Europe

xx

xx

xx

xx%

xx%

APAC

xx

xx

xx

xx%

xx%

Rest of The World

xx

xx

xx

xx%

xx%

Total

xx

xx

xx

xx%

xx%

Geographically, this report is segmented into several key Regions, with production, consumption, revenue (million USD), and market share and growth rate of HTAP-Enabling In-Memory Computing Technologies in these regions, from 2012 to 2028 (forecast), covering

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There are 15 Chapters to display the Global HTAP-Enabling In-Memory Computing Technologies Market.

Chapter 1, to describe Definition, Specifications and Classification of HTAP-Enabling In-Memory Computing Technologies, Applications of HTAP-Enabling In-Memory Computing Technologies, Market Segment by Regions;

Chapter 2, to analyze the Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;

Chapter 3, to display the Technical Data and Manufacturing Plants Analysis of HTAP-Enabling In-Memory Computing Technologies, Capacity and Commercial Production Date, Manufacturing Plants Distribution, R&D Status and Technology Source, Raw Materials Sources Analysis;

Chapter 4, to show the Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis by Microsoft, IBM, MongoDB, SAP, Aerospike, DataStax, GridGain, …;

Chapter 5 and 6, to show the Regional Market Analysis that includes North America, Europe, Asia-Pacific etc., HTAP-Enabling In-Memory Computing Technologies Segment Market Analysis [Type];

Chapter 7 and 8, to analyze the HTAP-Enabling In-Memory Computing Technologies Segment Market Analysis (by Application) Major Manufacturers Analysis of HTAP-Enabling In-Memory Computing Technologies;Microsoft, IBM, MongoDB, SAP, Aerospike, DataStax, GridGain, …

Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type [Type], Market Trend by Application [Application];

Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;

Chapter 11, to analyze the Consumers Analysis of HTAP-Enabling In-Memory Computing Technologies;

Chapter 12, to describe HTAP-Enabling In-Memory Computing Technologies Research Findings and Conclusion, Appendix, methodology and data source;

Chapter 13, 14 and 15, to describe HTAP-Enabling In-Memory Computing Technologies sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

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JCMR global research and market intelligence consulting organization is uniquely positioned to not only identify growth opportunities but to also empower and inspire you to create visionary growth strategies for futures, enabled by our extraordinary depth and breadth of thought leadership, research, tools, events and experience that assist you for making goals into a reality. Our understanding of the interplay between industry convergence, Mega Trends, technologies and market trends provides our clients with new business models and expansion opportunities. We are focused on identifying the Accurate Forecast in every industry we cover so our clients can reap the benefits of being early market entrants and can accomplish their Goals & Objectives.

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Podcast: Victor Nuṅez on Systemic Team Coaching to Enable Team Effectiveness

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MMS Victor Nuez

Article originally posted on InfoQ. Visit InfoQ

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Transcript

Shane Hastie: Hey folks with QCon Plus fast approaching, we’ve just announced a full schedule and speakers. Join world-class domain experts, Katharina Probst, senior engineering leader, Kubernetes and SAS at Google. Sergey Fedorov, director of engineering at Netflix, Matthew Clark, head of architecture of the BBC’s digital products, and many more this May 17 to 28. You can expect deep technical talks from software leaders, driving innovation and change. A focus on patterns and practices, and real time interactive sessions. Join over 1800 senior software engineers and learn what should be on your radar. Visit qcon.plus for more information.

Shane Hastie: Good day folks. This is Shane Hastie for the InfoQ Engineering Culture podcast. I’m sitting down across the miles today with Victor Nuṅez. Victor, thanks for taking the time to talk to us today, it’s really great to catch up with you again.

Victor Nunez: And great to see you again.

Introductions [01:18]

Shane Hastie: The reason I asked you onto the podcast is, I recently attended some training there you delivered in Organization Relationships Systems Coaching. Before we get into that, maybe a step back, tell us a little bit about who’s Victor.

Victor Nunez: My name is Victor Nunez, I’m Australian. I was born in the Philippines and now I’m living here in Bangkok. I started my career as a developer back in the late 90s. I used to do mainframe development programming and also client-server stuff. And then over the past couple of years, I’ve been traveling for work, and that led me to take on a more leadership or managerial position. In the past 10 years, I’ve discovered the art of coaching, and now I’m certified coach in both personal and team coaching. I’m also a practitioner of agile. I started practicing agile using Scrum as a framework back in 2006. And since then, I’ve been sort of educating people on the use of the framework, either using Scrum or Kanban in the agile environment. However, whilst I was doing that, I still didn’t really consider myself as an agile coach.

Victor Nunez: I only started calling myself as an agile coach when I had my first certification as a coach. That was quite an interesting change in career, coming from a development background to coaching. And now I’m a Systemic Team Coach and like you said, I also am a faculty of CRR Global, which is the proponent of the Organization and Relationship Systems Coaching, and this is one of the Systemic Team Coaching models that are available out there that we probably will be talking about today. In my spare time I also do astrology, I can read birth charts and do mundane astrology, stuff like that.

Introducing Systemic Team Coaching [03:02]

Shane Hastie: Systemic Team Coaching, what is it? Is it just a buzzword?

Victor Nunez: Well, it was I guess or probably still is a buzzword and agile coaching community. What I’m really happy about now in the agile coaching community is that there’s more uptake of people getting into that Systemic Team Coaching because they are seeing the benefit of looking at teams as system. Now, first we need to define what a system is. A system for me is a group of interrelated, interdependent group of people or components that perform certain functions to achieve a certain goal. So those are the three components, interrelated, or interdependent functions and goals, and we all have that in teams that we work with, and especially in agile coaching. We work with teams a lot, these teams work on a certain goal and each team will perform a certain function or role. So that’s how I started looking into systemic team coaching as an add on to how I do my agile consultancy back then.

Shane Hastie: Let’s explore that, the interrelatedness, the goals, the functions. But if I look at a lot of teams, they’re not particularly team like.

The difference between a team and a collection of people [04:19]

Victor Nunez: I understand where the perception is coming from because you probably are looking at them, or they’re probably behaving more like a collection of people. There’s a difference between a collection of people and a system. One example that we often give is, the people inside a cinema are in fact collection of people, they’re not interrelated, they’re not interdependent. The people sitting beside you can do whatever he or she likes, he or she can keep her phone off or on, eat popcorn as noisy or as quiet as he or she like, and they don’t have any goal apart from watching the movie. Watching the movie is that goal, but they don’t perform a function that is dependent.

Victor Nunez: However, when you put them in a situation, let’s say, if there’s a fire in the cinema, and then they have to act as a system to become interdependent and interrelated to each other, so that they can move out of the cinema safely, then they become a system. That’s where the system becomes real because of that connection and dependence that they have in that particular interim. So now they’re performing a function, which is maybe queuing up into the far exit to perform a goal, to leave the cinema, and they’re interdependent because they need to line up and queue up and be dependent on each other for support, guidance, and really helping each other out in times of emergency.

Shane Hastie: How do we help groups of people without putting them in a fire situation? But if we think of in most business environments, we put people in teams. In agile, we talk a lot about the cross-functional, self-organizing, collaborative teams. How do we help create this team culture, this teamwork approach?

The importance of interdependence and interrelatedness for team effectiveness [06:11]

Victor Nunez: Help teams get into that culture that you’re talking about, you have to really look at their relationships. How are they relating to each other and their interdependence? Because the teams that we work with in the agile environment, they already have a function and they already have a goal. However, what is really missing in terms of coaching them is really highlighting to them their interdependence, and interrelatedness. As a coach for me now knowing Systemic Team Coaching and other systems coaching practices, I make sure that I look also into those relationships that the team members have within the system, simply because it’s something that really helps them out in making them that self-organizing team that you’re talking about. I heard one agile coach tells me, he’s an experienced agile coach and he said, “Self-organizing teams is a myth, they don’t exist.” And my perspective on that is, they don’t exist because they’re not given the opportunity to exist.

Victor Nunez: The teams that you’re working are probably just working off the processes and the practices, but underneath that, there’s a relationship between the people that are in the system. So given that opportunity that you also harness that relationship and interdependence, then they become self-organizing, then they can adhere to the principles, perform the process, and then do the practices, what we were doing agile. This is where I think the Systemic Team Coach and using it in agile is different, because you’re layering in something underneath, in your coaching you’re putting something underneath all of the principles, processes, and practices, and what is underneath is ever moving. And that’s the part that’s self-organizing, not the principles, not the processes, and not the practices. That they have to follow what the teams really feel like following.

Victor Nunez: It’s a lot of teams and you tell them the agile manifesto. Yep, they understood that. And you tell them, “Oh we using Scrum, and yep you’ll understand the Scrum process.” We do the ceremonies, and then they do the stand-up and still, they don’t understand why they’re doing what they’re doing. And they don’t see a benefit in that, looking at their teammates simply because they don’t see the dependence on that. They don’t see the interrelatedness of them to the other, that one person’s practice is also impacting the other person’s practice. So that sort of interrelatedness has to be in there during the agile coaching. I’m not saying that Systemic Team Coaching or Systems Thinking is the key to really successful agile coaching practice, but what I’m saying is that, there’s an opportunity there to help build that elusive self-organizing teams.

Shane Hastie: What are some of the techniques, the practices, what does Systemic Team Coaching look like and feel like?

Approaches to team coaching [09:00]

Victor Nunez: In my practice I have at least three bodies of knowledge, which I use. One of them is Thinking in Systems by Donella Meadows. She published this book, which is really good. I think the book really bridges the gap between how we look at systems, and how we work with teams. It’s a really good book to read. The other one I do is Systemic Team Coaching by professor Peter Hawkins.

Victor Nunez: That’s another System Coaching model, which is more geared to how you navigate the coaching around the teams, how you move the teams from one space to the other, and making sure that at the end, you get that self-organizing aspect of that team. And the other one is, of course, as you mentioned, it’s the Organization Relationships Systems Coaching that I am also teaching as part of my work. And in that we focus more on the relationship systems and the intelligence of the systems. So those three practices I incorporate in my agile coaching, and they’re not really dependent on each other, you can use one on top of the other, the principles on top of the other. And there’s so many other team or Systemic Team Coaching practices out there that perhaps agile coaches would want to look at.

Shane Hastie: The intelligence of the system. We’re certainly aware of things like complex adaptive systems theory and the interpersonal stuff, looking at teams as complex adaptive systems. How do we explore this concept of the intelligence in the system itself? Isn’t the intelligence in the people?

Introducing the principles of relationship system intelligence [10:33]

Victor Nunez: When you talk about intelligence, there are so many intelligence types. In my practice, I use three things. You have the emotional intelligence of the individual, the person, how it reacts or responds to the world around him. And then you have that social intelligence, which is more of having that empathetic understanding of the other person or the other entity. And then you come to the relationship system intelligence, where it is the behavior of the entire system. And the behavior of the entire system is the collection of the intelligences of the people. So it’s a combination of those other two intelligences, the social and emotional, that builds on the relationship systems intelligence. And then what does the relationship systems intelligence tell us? It’s actually more of guiding principles on how we coach our teams, on how we help our teams.

Victor Nunez: In the RSI model, which is part of the model, we have five principles. Those five principles tell each coach what they need to know about the team. So let’s take for example, the first principle, there’s something emerging all the time with teams. What does this mean? The team is always giving you signals there’s something that’s happening with them. The team is always showing you indications that there are events that are moving with them. The team is always giving you signals that they’re probably not ready or ready for change. And that change comes from moving them from what is familiar to them, to what is emerging. That’s the one thing that the principle is telling the agile coach. The other principle that applies very well in agile coaching is that, the teams are saying that we have roles to play in this particular system. So the system needs roles to play. And in agile coaching, we know this very well, because we have roles in the agile framework.

Victor Nunez: That is one thing. And those roles as also showing us whether they’re well occupied or poorly occupied, are there hidden roles that are persisting in the team? Hidden roles normally happen when you move them from a waterfall approach to a transformation in agile, and you still have the role of the PM, the project manager, you still have the role of the portfolio manager. Those are hidden roles that exist still, that you need to explore and work with. And then the other thing that teams would be telling you using the principle of relationship systems is that, every single person in the team is a voice or a signal of the system.

Victor Nunez: Whatever one team member feels or experiences is the experience of the system. And how you coach them, is that you try to elicit whatever the voice of the system is, make sure that you’re hearing from all of them, and that’s how you get the voice of the system to come out. And that is helpful in really showing you where the system is at. The other thing that teams are telling you is that they have their own identity, teams always have their own identity. How many times in agile coaching and agile transformation, you’ll work with consultants and they will tell you that, “Yeah, I’ve seen this before,” or, “I know what to do with you because it’s very familiar.” What the relationship systems principle tells us, and the team is telling us, “No we’re unique.” The team has a unique identity, a unique language, a unique behavior. And that is something that agile coaches need to adopt as well when we’re working with them. And the last one is that, this is the stance that is very difficult for coaches is that, we are saying that the teams are naturally creative, generative and intelligent.

Victor Nunez: I’m finding that this particular principle or what the teams are saying is very difficult for coaches, because we have that tendency to say, “No, this is best for you,” “No, I think this process is best for you,” “No, this will work for you,” “That is not good, that is bad.” And those are typical comments that you get from agile coaches. But what the principle is saying, it’s your perspective, the teams will work on what is really needed in the team and in the system. So that sort of encapsulates the principles of relationship systems intelligence, where you really are relying more on the system, rather than your own. So you’re really outside the team, you’re looking at the team from the outside.

Shane Hastie: There’s some pretty challenging things there from a leadership perspective, from a coaching perspective, particularly when we think of a lot of coaching, and you touched on it earlier, that consultant telling people what to do versus what we’ve started to understand coaching being, actually we trust people to make decisions for themselves. So taking that stance or stepping away from the consultant stance to that coach stance, if I am very competent in that consultant advisor stance, how do I step away?

Moving away from telling teams what to do to enabling their effectiveness [16:01]

Victor Nunez: Well, you’re not going to eliminate that consultant stance, it’s useful in, like I said, delivering the principles, the processes, and the practices that are needed for them to work in the agile way of working. What is challenging or how I challenge coach in this is that, you put on the hat of a coach where you also rely on the intelligence that they have, given that you’ve seen how they work, you’ve already told them what they need to do, you’ve already educated them on what needs to be done. One thing, I think that the agile coaches in advantage of, when it comes to other coaches in the team environment, is that we’re really good at educating people, educating teams on what is needed in the practice of agile. What we’re saying as part of the systems coaching practice is that, we also educate the teams. And that’s when your consultant hat comes in, you need to educate them, give them context on what you’re doing with them. Even if you’re using a coaching tool on them, you also need to educate them and give them context, it doesn’t stop.

Victor Nunez: The educating really doesn’t stop because that is part of giving them that opportunity to be a system. They hear something from you as a consultant, as a coach, they take that in, trust that the system will digest what was taught within, what was given to them as context, and now you as a coach just need to step back a bit and look what’s happening with them based on what you’ve delivered to them. That is the only challenge, and I must admit it was for me moving out of that, no, you have to do this, no, this is good for you, mentality, it was really difficult. And that’s why I ended with that part that you have to rely… that the teams are intelligent because that tends to be more the…

Victor Nunez: The challenging aspect of this is, how come like “No, they’re not doing it, they’re not really working in an agile way of working that I told them to do so.” Again, you go back to the principle, they have their own way of doing things, they have their own identity. It might not be similar to what you’ve seen before, but it’s still there, and you have to trust that it’s still there. I must admit that depending on your engagement as an agile coach, it might take really long for this process to evolve. So there’s an element of time in this, that not only on the agile coaches part, the time to get adopted to the systemic team approach, but also with the team, because most teams I’ve worked with are not really used to being relied on, to be a system, being relied on to be interdependent and being in relationship with each other. So that is also a challenge to the system, not just the coach.

Shane Hastie: The people in the system used to being, and historically we tell people what to do, and even in a lot of agile adoptions and in new ways of working today, we’re still telling people what to do. This challenges the standardization approach for instance. In many organizations, they want all teams to work in the same way, but you’re saying, “No, let the team figure it out.”

Victor Nunez: Rather than telling teams what to do, educate them on the purpose and principles and let them work out for themselves their approach

Well, they’re all working in the same way, they’re all working on the same way by looking at the practices that they’re doing. They’re working on the same way by following the process, and they’re working in the same way by adhering to the principles. However, they’re not working the same way in terms of them as a system. The system is really the part that is hidden for us. And through coaching and through systems coaching that gets seen by the coach and by the team themselves, and that fits into those three things that are visible, the principles, the process, and the practices. We’re not going to say that you’re exempt from doing a daily stand-up, because you’re different. That is not the case. There’s a purpose for the daily stand-up, and you need to understand what that purpose is and how does it relate to you as a system.

Victor Nunez: And that is really the challenge when it comes to making sure that they follow those practices. It’s making sure that they understand, how is it relating to them? How is this daily stand-up as a practice impacting us as a team or as a system? Because each of the teams that you’ll be working with, you’ll discover that the impact of all those practices would be very, very different. And the language they use will be different, the behavior that they exhibit will be different, the way they relate to each other during the daily stand-up will be different. That is where the difference lies, not in the actual practice. I don’t really subscribe to saying that you skip the ceremonies because you’re special, and that’s not really how we adopt or transform teams into agile because we have certain processes and practices that we adhere to. And that’s what makes agile agile, it’s because of those framework and practices. What helps in incorporating those practices is really the coaching of the system, to make sure that they understand. It’s like it has to land on the system first, before you can expect that doing it.

Shane Hastie: What is the benefit that the team will get, the people in the system? What are the benefits that they will get from exposing the system, from systemic coaching?

Benefits for the team from seeing the system they are a part of [21:43]

Victor Nunez: One of the characteristics of the system described in the book I mentioned, Thinking in Systems is that, the systems rely on feedback loops. So you as a coach, giving them that feedback in the way of revealing what the system looks like, what the team looks like, will allow the system to adjust, to reconfigure and to redesign the system in order for them to work better. And that’s where taking a step back is really important, it’s what you need to do if you are coaching them as a system, it’s really revealing to them what they’re all about? What is this team? How do you function? How do you talk to each other? How do you work? And through that, they will have to adapt and redesign to achieve the goal that they set to achieve, and also to perform the functions that they need to function.

Victor Nunez: I was asked the question about how do you work with dysfunctional teams? And my response to that is, dysfunction is just a signal. And for you as a coach it’s a perspective that you see that there is dysfunction, but what you need to know, and you need to ask the team or let the team know is there’s dysfunction working for them. The dysfunction that is your perception, working for them. If so, then perhaps that’s not a dysfunction, and it’s your own perspective as a coach as to how they should work. Because if they say “No, we’re like this all the time. We bicker, we blame each other, we do this a lot, but we laugh about it.” It looks dysfunctional from the outside, but inside the system actually works for them, it actually helps them achieve their goal and they can perform the function very well.

Victor Nunez: This is one example I give here is that, I was born in the Philippines, the culture in the country, our language sometimes it can be very contemptuous. When you make fun of people, they have demeaning language coming from, in terms of… just at the workplace. But it’s all meant to elicit fun, humor and Camaraderie. And that works, and really that’s something that other coaches I’ve heard. One of my colleagues mentioned to me that, “Are they always like that? They look so toxic, they sound so toxic.” Because they always have that contemptuous attitude. And I tell them, “That’s how they work, that is something that feeds the system, that helps the system performs the function.” And the benefit of that, like I said, is that brings you more to the team, that brings lightness and camaraderie to them.

Victor Nunez: It’s more like saying that we coaches have a perception about our teams. Again, it is a perception, it might not be looking good for us, but it might be the best thing for them. What I would like to say to agile coaches, if you’re starting practicing Systems Coaching is to really make sure that you’re not putting in your perspective in the teams and let the team show you who they really are. So that’s something that I find that I practice a lot is I let them show who they really are, and then I work with that, meet the team where they are in terms of coaching them.

Shane Hastie: Meet the team, where they are, pretty important starting point. How do you guide them to where maybe you want them to go, or do you?

Guiding not directing  [25:15]

Victor Nunez: You do, that’s the job of the agile coach. I’d say you do need to guide them, and how you guide them is again, based on how they work. In my practice, what I do on top of my agile coaching is, apart from training them, and the agile principles, and processes, and practices, I also put up a plan for them to work on their system. So there’s a coaching plan that I set up for them to work on different aspects of the system. That might be communication. That might be collaboration, whatever topic that the system needs to be worked at, in support of what I need to guide them to. Let’s take for example, daily stand-up, if you’re working for a team that’s not particularly collaborative, the daily stand-up might not really look good or might not really work for them because they don’t talk that much.

Victor Nunez: Now you have to coach them on the collaboration aspect first. Make sure that they know the value of that collaboration piece that you’re telling them, or you’re instructing them to do, and work slowly in building those skills. So really there are certain skills or soft skills you might want to call that we need to tell them or show them how to do as a system, in order for us to effectively point them where they need to be. “It’s not okay, this is how a daily stand-up works and you have to follow this particular format.” If they’re not accustomed to how that communication style works, it doesn’t matter how often you correct them, they’re not going to get it.

Victor Nunez: This has been my experience working with a lot of teams over these years that, if you tell them, “Stick to the format.” It’s probably 99% of the time they won’t, only a few teams would stick to it, because only a few teams would actually resonate with it. So what you want is that, you teach them where they need to go and establish that resonance to that practice. It’s not about agreeing to the practice, it’s more resonating to the practice and that’s what systems coaching does. Is there’s a practice that we need to resonate with, how do we do that as a system? And you as a coach, that’s your job.

Shane Hastie: Victor, some really interesting concepts in there. If people want to continue the conversation and explore this further, where do they find you.

Victor Nunez: You can find me on LinkedIn. I’m also a faculty of CRR Global. You can visit their website at crrglobal.com and look at the courses available there. So I’m part of the CRR APAC Group, there’s also a website called crrapac.com. and you can have a look at that.

Shane Hastie: Thank you very much.

Victor Nunez: Thank you Shane.

Mentioned

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Big Data and Analytics Market Overview 2021, Witness Highest Growth in near future by 2028 …

MMS Founder
MMS RSS

Posted on mongodb google news. Visit mongodb google news

  


The latest report added by Market Research Intellect “Big Data and Analytics Market“. The research report includes an in-depth analysis of market factors, constraints, threats and opportunities. It aborts lucrative investment options for players in the coming years. Analysts proposed market at global and regional levels. The research report is a complete set of different factors.

The Big Data and Analytics Market Forecast 2028 research report is a professional and in-depth study of the current state that focuses on the main drivers, market dynamics, market size and constraints of the main players. The Big Data and Analytics Industry Global report also provides granular analysis of Big Data and Analytics industry share, segmentations (types, applications, manufactured products), revenue forecasts and geographic market regions.

The Global Big Data and Analytics Market was valued at dollars xx.xx Billion in 2021 and add gone a CAGR of XX% from 2021 to 2028.

For clarity, analysts also segmented the market based on geography. This type of segmentation allows readers to understand the volatile political scenario in different regions and their impact on the global film and Sheet Thickness Gauge market. The base of geography, the world market of Big Data and Analytics segmented as follows:

Big Data and Analytics Market breakdown by manufacturer:

  • Microsoft Corporation
  • MongoDB
  • Predikto
  • Informatica
  • CS
  • Blue Yonder
  • Azure
  • Software AG
  • Sensewaves
  • TempoIQ
  • SAP
  • OT
  • IBM Corp
  • Cyber Group
  • Splunk

Big Data and Analytics Market breakdown by type:

  • Data Intergration
  • Data Storage

Big Data and Analytics Market breakdown by application:

  • LoT
  • M2M

Big Data and Analytics Market Report Scope 

Report Attribute Details
Market size available for years 2021 – 2028
Base year considered 2021
Historical data 2015 – 2019
Forecast Period 2021 – 2028
Quantitative units Revenue in USD million and CAGR from 2021 to 2027
Segments Covered Types, Applications, End-Users, and more.
Report Coverage Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends
Regional Scope North America, Europe, Asia Pacific, Latin America, Middle East and Africa
Customization scope Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope.
Pricing and purchase options Avail of customized purchase options to meet your exact research needs. Explore purchase options

Regional market analysis Big Data and Analytics can be represented as follows:

  • North America includes the United States, Canada, and Mexico
  • Europe includes Germany, France, UK, Italy, Spain
  • South America includes Colombia, Argentina, Nigeria, and Chile
  • The Asia Pacific includes Japan, China, Korea, India, Saudi Arabia, and Southeast Asia

The Renal Disease market presents a wide range of primary and secondary data with respect for regional and global markets. The report also identifies constraints and opportunities to identify high-growth segments involved in the Renal Disease market. In addition to this, the research provides an analysis of the five forces of Porters, a PESTEL analysis and an analysis of the industrial chain of the Renal Disease market to obtain the impact of various factors such as the commercial power of suppliers, competitive rivalry, the threat of new entrants. , the threat of substitutes and the commercial power of buyers on the growth of the Renal Disease market.

Visualize Big Data and Analytics Market using Verified Market Intelligence:-

Verified Market Intelligence is our BI-enabled platform to tell the story of this market. VMI provides in-depth predictive trends and accurate insights into more than 20,000 emerging and niche markets to help you make key revenue impact decisions for a brilliant future. 

VMI provides a comprehensive overview and global competitive landscape of regions, countries, and segments, as well as key players in your market. Showcase your market reports and findings with built-in presentation capabilities, providing more than 70% of time and resources for investors, sales and marketing, R & D, and product development. VMI supports data delivery in Excel and interactive PDF formats and provides more than 15 key market indicators for your market.


The Big Data and Analytics global market report is the result of an in-depth study of the market and also examines the macro and micro factors necessary for existing market participants and new aspirants, as well as a detailed analysis of the value chain.

Thank you for reading this article; you can also get a single chapter-wise section or region-wise report version, such as North America, Europe or Asia, etc.

About Us: Market Research Intellect

Market Research Intellect provides syndicated and customized research reports to clients from various industries and organizations in addition to the objective of delivering customized and in-depth research studies. 

We speak to looking logical research solutions, custom consulting, and in-severity data analysis lid a range of industries including Energy, Technology, Manufacturing and Construction, Chemicals and Materials, Food and Beverages. Etc Our research studies assist our clients to make higher data-driven decisions, admit push forecasts, capitalize coarsely with opportunities and optimize efficiency by bustling as their belt in crime to adopt accurate and indispensable mention without compromise. 

Having serviced on the pinnacle of 5000+ clients, we have provided expertly-behaved assert research facilities to more than 100 Global Fortune 500 companies such as Amazon, Dell, IBM, Shell, Exxon Mobil, General Electric, Siemens, Microsoft, Sony, and Hitachi.

Contact us:

Mr. Edwyne Fernandes

US: +1 (650)-781-4080
UK: +44 (753)-715-0008
APAC: +61 (488)-85-9400
US Toll-Free: +1 (800)-782-1768

Website: – https://www.marketresearchintellect.com/

Article originally posted on mongodb google news. Visit mongodb google news

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Microsoft Announces Preview Service for Building Real-Time Web Applications Called Azure Web PubSub

MMS Founder
MMS Steef-Jan Wiggers

Article originally posted on InfoQ. Visit InfoQ

Recently Microsoft announced a preview of Azure Web PubSub, a new service for building real-time web applications. Azure Web PubSub is a fully-managed service that supports native and serverless WebSockets.

WebSockets allow for full-duplex communication channels over a single TCP connection. Developers can leverage WebSockets in their web application implementation to open a two-way interactive communication session between the user’s browser and a server. It can be helpful in scenarios where web applications require high-frequency data updates such as gaming, auctioning, or applications that support live-chat cross-platform like chatbots, online customer support, and real-time shopping assistant.

Balan Subramanian, partner director of product management, stated in a blog post about the preview service:

WebSocket is a standardized protocol that provides full-duplex communication. It is key to building efficient real-time web interactions and is supported by all major browsers as well as web servers. 


Source: https://azure.microsoft.com/en-us/blog/easily-build-realtime-apps-with-websockets-and-azure-web-pubsub-now-in-preview/

Currently, the Azure Web PubSub preview supports native WebSocket and a wide variety of programming languages (including C#, Python, and Java) through WebSocket APIs – providing flexibility for developers to build real-time cross-platform applications and migrate existing WebSocket-based applications. Furthermore, the service also offers json.webpubsub.azure.v1 subprotocol – enabling clients to do publish-subscribe effectively without routing data between service and back-end server code. And the service is also natively integrated with Azure Functions, allowing developers to build serverless C#, JavaScript, Python, and Java applications using WebSockets. 

Subramanian stated in the same blog post:

You can use Azure Functions to integrate and process the location data from IoT devices and then leverage Azure Web PubSub service to broadcast the location data to multiple live dashboard clients to visualize real-time location information for your customers.

Azure Web PubSub is not the only real-time service offering Microsoft has in Azure. It also provides Azure SignalR, allowing developers to add real-time web functionality to applications over HTTP – also supporting similar scenarios. In a Twitter thread,  David Fowler, partner software architect at Microsoft on .NET, creator of SignalR and ASP.NET Core, explains the differences:

How is it different from SignalR, you ask? Well, internally, it’s built on the same underlying tech, but the big difference is that there’s no client requirement or protocol requirement, BYOWL (bring your own WebSocket library).

And, also:

Unlike SignalR, Azure Web Pubsub is just WebSockets; there’s no long-polling or server sent events fallback nor automatic reconnect; it’s just you and your WebSocket client. And lastly, if you’re using Azure SignalR continue to do so unless there’s something limiting you from using it in more places. This service won’t benefit you if that’s not the case.

Lastly, more details and guidance around using the Azure Web PubSub service are available on the documentation landing page and Github code samples.

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Presentation: Upgrade to Java 16 or 17

MMS Founder
MMS Johan Janssen

Article originally posted on InfoQ. Visit InfoQ

Transcript

Janssen: My name is Johan Janssen. I work for Sanoma Learning. What are we going to talk about? First, we start with the reasons on why you should actually upgrade your application to the newest version of Java. Then we have a look at the release cadence of Java. Then we start with the more practical parts on how you should actually upgrade your Java application, and some tips and tricks for that. Then see what the challenges are of the various Java versions and how we can resolve them. If you have any questions, please have a look at the GitHub repository, Java Upgrades, which I created. A lot of the things in this presentation are based on that repository, which includes examples and a lot of information on challenges that you encounter, errors that you might see, and the solutions for that.

Background

I didn’t get this information by upgrading HelloWorld or by Googling a lot. Actually, I do Google a lot as well. That was during the process of upgrading many applications over the years to newer Java versions. I’ve been doing that for quite a while for bigger applications with hundreds of thousands of users a day. It’s a lot of practical information.

Why Upgrade?

Why should you actually upgrade your application? Every Java version, even minor versions offer performance benefits, but also security fixes and other useful extras that make your application more robust and better maintainable. It includes cool, new features, for instance, the recently released Java records or the pattern matching functionality.

Why this Session?

I’ve noticed that a lot of applications are still on Java 8 or maybe even older, because upgrading is seen as quite a challenge. It’s often estimated that it’s a lot of work, maybe even weeks or months of work to upgrade from one LTS version to the next LTS version of Java, the long term support versions. Then, when that information is being sent to the business, they often say, we don’t have time to invest so much time now. It is postponed. That’s not really helpful. It’s seen as a challenge. It’s difficult to estimate. That’s not a good idea. We try to make it more practical. Actually, in the case of the weeks to months’ estimation, I managed to do it in a couple of days. Of course I had some prior experience with the Java Upgrades. It’s often a matter of simply trying it, and if you’re lucky, you manage to upgrade it quite easily. Depending on what dependencies you use, or what code bases you use, it might be a bit more of a challenge.

Goals

I will share some recurring challenges and their solutions that I’ve discovered over the years with various Java versions, to help you get the migration to the newest version of Java in a quick manner. Therefore, I use Maven as an example but of course this works with Gradle as well or any other build tool that you prefer.

Releases

For Java, nowadays, we have the long term support or LTS versions, which are released every couple of years. The latest version was 11. The latest LTS version released in 2018. The next one will be 17, which will be released in September this year. The major LTS versions also receive minor updates, and those updates are at least until the next LTS version is released. Depending on the vendor that created your build, it can be for a much longer period, but that differs per vendor. Between those LTS versions, we also have the six monthly Java releases. It also has minor updates, but only until the next major release is created.

Should we then stick to using LTS versions, or should we use the latest versions of Java? If you have the time available, I would recommend using the latest version of Java because you can use the new features, there’s new things, and also increase developer productivity. However, because it’s a major version, it might take a bit more work. You have to do it every six months, because you cannot use the new minor versions. If you don’t have that time available to upgrade every six months, you might opt to using only the long term support versions. However, then, each time you need to upgrade your long term support version, that actually might take quite a bit more time as well. In the end, I think staying on long term support versions or using the latest version shouldn’t differ too much in the investment that needs to be done in upgrading.

What to Upgrade

What do we need to upgrade? Typically, your application consists of some application code that we wrote ourselves and some dependencies, which we’re using, such as Spring, JPA, or other things. Those all use Java, the JDK, to build and run our application. When something is removed from the JDK we’re using, then we need to change either our dependency or code, or maybe even both. With the dependencies, it’s sometimes good to have a little bit of patience. After a while, those dependencies will hopefully get new versions, with support for the new Java version. Then the only thing you need to do is to upgrade to the newest version of the dependency instead of having to fix the challenges yourself.

Deletion and Deprecations

We’ll mainly focus on the deletion of features, because for everything that’s being deleted, which you’re using in your application, you need to find a solution before you can actually start using the cool, new additions of the new Java versions. Actually, in Java, stuff isn’t deleted immediately most of the time. First, the algorithms are marked for deprecation, for instance, for JAXB. In Java 9, JAXB was marked for deprecation. Same in Java 10. Then in Java 11, it was removed. If you continuously update your Java version, then already on Java 9, you get a warning that JAXB will be removed in the future. You can make sure that you fix that and have everything in place before it’s actually removed. Then the step to Java 11 will be relatively easy. On the other side, if you go from Java 8 to Java 11 at once, you don’t get the deprecation warnings, and you get compile errors, because actually these features are already removed. It might be good to go step by step.

What Gets Removed?

What’s removed in Java? There is a lot of things that can be removed and are actually being removed: certificates, encryption algorithms, various JVM flags or options, even garbage collectors, or tools on Java for mission control. There are various options, you could use the javaalmanac.io website, and compare different Java versions. In this case, we compare version 8 with Java 17. We see which methods in Java are added, deprecated, or removed. There’s a lot of detail in this page. Other places where you can get detailed information about new features or removed features inside Java are offered through the OpenJDK website, and through the Oracle release notes documentation.

If we look at the OpenJDK release notes or the OpenJDK documentation, we can see the various JEPs, the Java Enhancement Proposals that are being proposed for this version of Java. For instance, the deprecation for the Applet API. If you look at the Oracle release notes, we get even more detail, we can see which features are removed, which features are deprecated, and also, which features are new. If we look at the removed features, we can see in detail what’s going on in here. If you’re upgrading and you encounter any issues, or you want to know upfront what is being changed in a Java version, then this is a good place to get started.

Running Multiple JDKs

When you do the upgrade process, probably you’re still working on the application to create new features and to deploy new features to production. You want to have the old version of Java running next to the new version of Java. There are various ways to do that. You, of course, can install and uninstall the various versions, but that’s a bit cumbersome. For Maven, you can also use the JAVA_HOME variable, because Maven uses that to determine which JDK to use. If you change the JAVA_HOME variable, Maven will use that specific JDK that you configure there. Another option is to use Maven Toolchains. They allow you to specify the pom.xml, and specify there which JDK you want to use for that project. Unfortunately, I encountered some issues with the Maven Toolchains solution with the new versions of Java. It wasn’t really useful for me in the upgrade process. The last option here is using Docker, which is a bit more work. You have to set it up, of course. You have to add your application to a Docker image, and then run it. The feedback loop is a bit longer. I would start with simply, first locally, with a local JDK, make sure you fix all the issues. Then maybe use Docker in a clean environment, without old configurations of yourself for specific settings, to make sure that it still works, so it also works in the build environment and in the production environment. Or, to simply create some examples like I did in the GitHub repository, where I also use Docker to run my examples against various Java versions.

To do that, I created a Dockerfile based on the Maven 16 release, Java 16. I added my Java application, and I ran the tests. I continue. If there is a failure, I simply want to see the end result including what’s built. To build this, I use the Docker build command. I specify the tech, and I specify the docs, so the current directory is being used by Docker. This is a way to easily test if your code is running on the newest version of Java, in a clean environment.

Rolling Out a New Java Version

When we start developing against the new Java version, it’s recommended to start with your local machine, get that up and running first. Then upgrade your build environment, so it supports the latest version of Java. Get everything built and tested over there. Then at the end, release it to the other environments, including the production environment. When upgrading Java, you might upgrade from 8 to 17 at once. If you’ve encountered any issues, it might be hard to pinpoint what’s caused the exact issue. Therefore, it might be better to do the migration, step by step. Maybe you migrate from 8 to 11 first, or maybe from 8 to 9. Then if you encounter any issues, you can easily see what’s changed in that Java version, or maybe Google for it. That way, it’s easier to get the upgrades done instead of in one big bang.

Preparations

Let’s look at the ingredients to get this upgrade process done. First, we start with an IDE with proper support for the Java version where we want to upgrade to, because then we already get a lot of warnings and feedback inside your IDE and we can relatively easily fix it. It’s also important that you upgrade the build tools and plugins so that they support the latest version of Java. In case of Maven, we specify the compiler plugin to use Maven with Java 17. The next step is to basically upgrade the dependencies of our application. We can do that, already, on the current version of Java which we’re using, and simply upgrade all the dependencies, check if the application still works. Then upgrade the Java version. Make sure you also upgrade the dependency that you created yourself. Keep in mind that if you upgrade your dependencies, sometimes they have new names. If you have a dependency and you update it to the latest version, but it’s still a couple of years old, it might be good to check if there is another dependency available with the same functionality. There are some plugins available that help you check for latest versions of dependencies. For instance, for Maven, mvn versions:display-dependency-updates, is the command you can use to get an overview of the latest versions of your dependencies.

Cooking

How do we move forward? Now we start by compiling the source code on the new Java version, we run it. If that succeeds, and we make the necessary fixes, we go to running the unit tests. If we fix that as well, we can package the application, and in the end, we can run the application. Based on the nice ingredients, we should get a nice result. Of course, sometimes you miss some ingredients, or you lack a bit of time and you take some shortcuts. That’s perfectly fine. The recipe I showed you is basically a recipe I think that works quite well, but some circumstances prevent you from using the recipe exactly. For instance, if some dependencies don’t work on certain Java versions, or some dependencies are incompatible with each other. This basically is a way to get started. If you encounter any issues, feel free to deviate from it. That’s up to you.

Java 11

Normally, you’re going to see what’s changed in the different versions of Java. If we look at Java 11, we see that JavaFX, which is used for the frontend, has been removed. As a replacement, we can use the OpenJFX build provided by Gluon. Another way is to use a JDK build which actually still includes support for OpenJFX. The normal JDK and the specification mention that JavaFX is removed. There are still vendors that build JDKs which still include OpenJFX support, such as the Liberica JDK that has a full build with a lot of extra tooling inside. There is also the old JDK build available. A third way to still keep using JavaFX is to use the Maven dependencies, which are documented on the OpenJFX website. Next to that, also the JDK fonts have been removed. Previously, in the JDK, some fonts were packaged, so your application could use the fonts of the JDK. For instance, with Apache POI dependency, you can use fonts to create or edit various Microsoft Office documents. Now those fonts are removed from the JDK. If those fonts aren’t supplied by the operating system, you will get an error. The solution is basically to make sure the font support is provided by the operating system instead of through their JDK. To do that, you can install the packages that are mentioned.

Java Mission Control has also been removed. Java Mission Control can be used to monitor or profile your application and get deep insights into the workings of your application. It’s no longer available as part of the JDK, but you can download separate builds on the AdoptOpenJDK or on the Oracle website. Nowadays, it’s also called JDK Mission Control, so if you go for it you should use the new name for it. One of the bigger changes was the removal of the Java EE and CORBA modules. That impacts a lot of applications.

New Package Names

One of the changes there is that not only do you now need to use the packages yourself and add them as dependencies, but also, there are new packages being created. Previously, we had the javax packages, but they are no longer maintained. We now have new packages provided by Jakarta which are still maintained. You should use the artifacts mentioned at the bottom to make sure that you’re on a current version of this functionality. Your application could use a simple javax import before because the CLI was provided by the JDK. Nowadays, you need to import the right Jakarta package and you need to add the Jakarta dependency through your application. That’s not only the case for the CLI, but also for the activation, annotation, transaction, web services and for CORBA. Most of them have official replacements, except for CORBA, there’s no official replacement, though you can use the glassfish implementation, which is also available. For the others, you can see in the column at the right, the latest versions of the artifacts which you should use as a replacement for the built-in functionality to JDK. As you see in the column at the right, for JAXB and JAX-WS, there are two artifacts that you need to include, both the API and the implementation should be included to make sure it still works.

Java 15

In Java 15, the Nashorn JavaScript engine was removed. However, if you still need that functionality, you can simply add the dependency as shown.

Java 16

In Java 16, they encapsulated some of the JDK internals, so some lower level stuff in the JDK. The JDK developers or other frameworks don’t want you to use it directly. Basically, they try to hide it away. Some frameworks actually use those features directly, for instance Lombok. A solution for that is to upgrade your dependencies and make sure that you use a version of the dependency that’s compatible with Java 16. Lombok 1.18.20 supports Java 16, so if you upgrade to that one, it works again.

Java 16 Workaround

If you have dependencies that aren’t upgraded, or if you have code yourself that uses those JDK internals, then there is a workaround by specifying some compiler arguments in the Maven compiler plugin. Basically, these arguments can be used. However, the JDK developers basically made sure that those internals couldn’t be used anymore. With this workaround, you still allow those features to be used, which isn’t really nice. It’s like removing a lock on a door, which is maybe good for a temporary solution. I think it’s better to create a proper solution and make sure that you no longer use those internal JDK APIs that are now hidden away.

Maven Toolchains

Here, I also encountered some issues with the Maven Toolchains plugin. I ran Java 16 with an old version of Lombok, and then I got a compilation failure, exactly this error. For me, this error isn’t really descriptive. I didn’t know what to do, because no detail was given on what actually went wrong.

Java 16: Lombok

When I ran this again, without Maven Toolchains, and with Java 16 directly, I got a more descriptive error. The part at the end is probably the most interesting one, the module JDK compiler does not export processing to unnamed module. That’s exactly what we exposed in the workaround, to make it available. This is a better descriptive error. If this is fixed in the Maven Toolchains plugin, then probably this is also a good way to work with different JDKs. For now, for me, I couldn’t really use it because the compiler errors weren’t descriptive enough.

Java 17

Java 17 is still under development, so it’s not completely determined what will be in there and what items will be removed. Until now, the only thing that will be removed is the deprecated API for the Applets. It’s not really a removal, but it is an indication that it will be removed. It shouldn’t really be an issue for applications as Applets were no longer supported by browsers for quite a while already, so this shouldn’t impact too many people.

Resources

If you want to have a bit more detail about this, you of course can have a look at the GitHub page, github.com/johanjanssen/JavaUpgrades. It shows a lot of information including the links to all the detailed changes in the Java versions, and what is being removed, in detail. For instance, if you get this error, then you probably need to add this dependency. There is a lot of detailed information in here. There are quite a few examples for the different Java versions in here as well. I can show an example in IntelliJ. If we look at the lombok_broken example, you can see that here, the version 1.18.18 was used, and in the fixed one, 1.18.20 was used. If I now run this on Java 15, this should still work, even the broken example, because it was only changed in Java 16. We can actually see that indeed on Java 15, everything still works. If we now change this to Java 16, we can now see that the broken one indeed failed, because on Java 16, we had to fix it. That’s the one that you see here. That one passed, and it was a success.

Basically, now, we conquered our challenge where we’ve finished our Java upgrade and now the real fun can actually start. We can start using those cool, new features and start benefiting from our upgrade.

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Document Databases Software Market Investment Analysis | MongoDB, Amazon, ArangoDB

MMS Founder
MMS RSS

Posted on mongodb google news. Visit mongodb google news

Document Databases Software Market Forecast 2029: Revenue, Size & Growth

Global Document Databases Software Market Forecast till 2029 research includes reliable economic, international, and country-level forecasts and analysis. It offers a holistic view of the competitive market and thorough analyses of the supply chain to help companies identify closely significant trends in the company practices seen in the sector. Major Companies listed in this Reports are MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB, SQL-RD, OrientDB, RavenDB, Redis.

Free Sample Report & Pie Charts Available @ jcmarketresearch.com/report-details/1303820/sample

Regional Breakout for Document Databases Software Market: North America XXX million $, Europe XXX million $, Asia XXX million $ & Rest of World.

Overview Document Databases Software Market including Types & Application:

• North America: United States, Canada, and Mexico
• South & Central America: Argentina, Chile, and Brazil
• Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa
• Europe: UK, France, Italy, Germany, Spain, and Russia

Application: [Application]

Types: [Type]

Document Databases Software Market Leading Competition: In this section, the report provides information on Competitive situations and trends including merger and acquisition and expansion, market shares of the top ten players, and market concentration rate. Readers could also be provided with production, revenue, and average price shares by manufacturers.

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Research Methodology:

The market engineering process uses a top-down and bottom-up approach and several data triangulation methods to evaluate and validate the size of the entire market and other dependent sub-markets listed in Document Databases Software report. Numerous qualitative and quantitative analyzes have been conducted in the market engineering process to list key information / insights. The major players in the market were identified through the second survey and the market rankings were determined through the first and second surveys.

Primary Research:

During the first survey, we interviewed various key sources of supply and demand to obtain qualitative and quantitative information related to Document Databases Software report. Key supply sources include key industry participants, subject matter specialists from key companies, and consultants from several major companies and organizations active in the digital signage market.

Secondary Research:

The second study was conducted to obtain key information on the supply chain of the Document Databases Software industry, the market’s currency chain, pools of major companies, and market segmentation, with the lowest level, geographical market, and technology-oriented perspectives. Secondary data was collected and analyzed to reach the total market size, which was verified by the first survey.

Global Document Databases Software Market Detailed study of each point: –

• The Document Databases Software Market study offers a comprehensive overview of the current market and forecasts by 2020-2029 to help identify emerging business opportunities on which to capitalize.

• The report provides an in-depth review of industry dynamics in Document Databases Software, including existing and potential developments to represent prevailing consumer pockets of investment.

• The report provides details concerning key drivers, constraints and opportunities and their effect on the Document Databases Software market.

• Industry players MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB, SQL-RD, OrientDB, RavenDB, Redis strategic analysis and industry position in the global Document Databases Software market;

• The report elaborates on the SWOT analysis and Porters Five Forces model.

• The market-study value chain review gives a good view of the positions of the stakeholders.

Get Customized Report Toc @:jcmarketresearch.com/report-details/1303820/enquiry

Major Highlights of Document Databases Software Market in Covid-19 pandemic covered in report:

– Market Competition by key manufacturers in the Document Databases Software industry.
– Discussed Sourcing strategies, industrial chain information and downstream buyer’s data.
– Distributors and traders on Document Databases Software marketing strategy analysis focusing on region wise needs in covid-19 pandemic.
– Vendors who are providing a wide range of product lines and intensifying the competitive scenario in Document Databases Software covid-19 crisis.
– Also highlights of the key growth sectors of Document Databases Software market and how they will perform in coming years.

Buy Full Copy Global Document Databases Software Report 2029 @ jcmarketresearch.com/checkout/1303820

** The demand is measured on the basis of the weighted average sale price (WASP), which requires the manufacturer’s taxes. The currency conversions that were used to construct this study were determined using a given annual average rate of currency exchange from 2020.

Find more research reports on Document Databases Software Industry. By JC Market Research.

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NoSQL Market Huge Growth Opportunities and Trends to 2026 | IBM Corporation, Aerospike Inc …

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A comprehensive report on “NoSQL Market” was published by The Research Insights to understand the complete setup of NoSQL Market industries. Effective qualitative and quantitative analysis techniques have been used to examine the data accurately. Variable factors that comprise basis for a successful business, such as vendors, sellers, as well as investors are analyzed in the report. It focuses on size and framework of global NoSQL Market sectors to understand the existing structure of several industries. Challenges faced by the industries and approaches adopted by them to overcome those threats has been included.

This research report is helpful for both established businesses as well as startups in the market. Furthermore, the report is ideally and characteristically punctuated with illustrative presentation.  Researchers of this report provide a detailed investigation of the historical records, current statistics, and future predictions. Factors contributing to success and acting as obstacles have both been discussed in equal measure.

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Profiling Key players: IBM Corporation, Aerospike Inc, MarkLogic Corporation, Hibernate, MariaDB, Oracle Database, Neo technology, MongoDB, Basho Technologies and Others.

This report segments the NoSQL Market on the basis of by Type are:
Key-Value Store

Document Databases

Column Based Stores

On the basis of By Application, the NoSQL Market is segmented into:
Retail

Online Game Development

IT

Social Network Development

Highlights of the report:

  • Comprehensive assessment of all opportunities and risk in the global market.
  • NoSQL Market recent innovations and major events.
  • Detailed study of business strategies for growth of the NoSQL Market leading players.
  • Conclusive study about the growth plot of NoSQL Market for forthcoming years.
  • In-depth understanding of NoSQL Market -particular drivers, constraints and major micro markets.
  • Favorable impression inside vital technological and market latest trends striking the NoSQL

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Table of Content:

Global NoSQL Market Research Report

Market Overview

Competition Analysis by Players

Company (Top Players) Profiles

NoSQL Market Size by Type and Application

US Market Status and Outlook

EU Development Market Status and Outlook

Japan Market Development Status and Outlook

China Market Status and Outlook

India Global NoSQL Market Status and Outlook

Southeast Asia Market Status and Outlook

Market Forecast by Region, Type, and Application

Market Dynamics

Market Effect Factor Analysis

Research Finding/ Conclusion

Appendix

Lastly, this report provides market intelligence in the most comprehensive way. The report structure has been kept such that it offers maximum business value. It provides critical insights on the market dynamics and will enable strategic decision making for the existing market players as well as those willing to enter the market.

If you have any special requirements, please let us know and we will offer you the report as per your requirements.

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HTAP-Enabling In-Memory Computing Technologies Market Overview 2021, Witness Highest …

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The latest report added by Market Research Intellect “HTAP-Enabling In-Memory Computing Technologies Market“. The research report includes an in-depth analysis of market factors, constraints, threats and opportunities. It aborts lucrative investment options for players in the coming years. Analysts proposed market at global and regional levels. The research report is a complete set of different factors.

The HTAP-Enabling In-Memory Computing Technologies Market Forecast 2028 research report is a professional and in-depth study of the current state that focuses on the main drivers, market dynamics, market size and constraints of the main players. The HTAP-Enabling In-Memory Computing Technologies Industry Global report also provides granular analysis of HTAP-Enabling In-Memory Computing Technologies industry share, segmentations (types, applications, manufactured products), revenue forecasts and geographic market regions.

The Global HTAP-Enabling In-Memory Computing Technologies Market was valued at dollars xx.xx Billion in 2021 and add gone a CAGR of XX% from 2021 to 2028.

For clarity, analysts also segmented the market based on geography. This type of segmentation allows readers to understand the volatile political scenario in different regions and their impact on the global film and Sheet Thickness Gauge market. The base of geography, the world market of HTAP-Enabling In-Memory Computing Technologies segmented as follows:

HTAP-Enabling In-Memory Computing Technologies Market breakdown by manufacturer:

  • SAP
  • IBM
  • Microsoft
  • DataStax
  • MongoDB
  • Aerospike
  • GridGain

HTAP-Enabling In-Memory Computing Technologies Market breakdown by type:

  • Cloud-Based
  • On-Premises

HTAP-Enabling In-Memory Computing Technologies Market breakdown by application:

  • Large Enterprises(1000+ Users)
  • Medium-Sized Enterprise(499-1000 Users)
  • Small Enterprises(1-499 Users)

HTAP-Enabling In-Memory Computing Technologies Market Report Scope 

Report Attribute Details
Market size available for years 2021 – 2028
Base year considered 2021
Historical data 2015 – 2019
Forecast Period 2021 – 2028
Quantitative units Revenue in USD million and CAGR from 2021 to 2027
Segments Covered Types, Applications, End-Users, and more.
Report Coverage Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, and Trends
Regional Scope North America, Europe, Asia Pacific, Latin America, Middle East and Africa
Customization scope Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope.
Pricing and purchase options Avail of customized purchase options to meet your exact research needs. Explore purchase options

Regional market analysis HTAP-Enabling In-Memory Computing Technologies can be represented as follows:

  • North America includes the United States, Canada, and Mexico
  • Europe includes Germany, France, UK, Italy, Spain
  • South America includes Colombia, Argentina, Nigeria, and Chile
  • The Asia Pacific includes Japan, China, Korea, India, Saudi Arabia, and Southeast Asia

The Renal Disease market presents a wide range of primary and secondary data with respect for regional and global markets. The report also identifies constraints and opportunities to identify high-growth segments involved in the Renal Disease market. In addition to this, the research provides an analysis of the five forces of Porters, a PESTEL analysis and an analysis of the industrial chain of the Renal Disease market to obtain the impact of various factors such as the commercial power of suppliers, competitive rivalry, the threat of new entrants. , the threat of substitutes and the commercial power of buyers on the growth of the Renal Disease market.

Visualize HTAP-Enabling In-Memory Computing Technologies Market using Verified Market Intelligence:-

Verified Market Intelligence is our BI-enabled platform to tell the story of this market. VMI provides in-depth predictive trends and accurate insights into more than 20,000 emerging and niche markets to help you make key revenue impact decisions for a brilliant future. 

VMI provides a comprehensive overview and global competitive landscape of regions, countries, and segments, as well as key players in your market. Showcase your market reports and findings with built-in presentation capabilities, providing more than 70% of time and resources for investors, sales and marketing, R & D, and product development. VMI supports data delivery in Excel and interactive PDF formats and provides more than 15 key market indicators for your market.


The HTAP-Enabling In-Memory Computing Technologies global market report is the result of an in-depth study of the market and also examines the macro and micro factors necessary for existing market participants and new aspirants, as well as a detailed analysis of the value chain.

Thank you for reading this article; you can also get a single chapter-wise section or region-wise report version, such as North America, Europe or Asia, etc.

About Us: Market Research Intellect

Market Research Intellect provides syndicated and customized research reports to clients from various industries and organizations in addition to the objective of delivering customized and in-depth research studies. 

We speak to looking logical research solutions, custom consulting, and in-severity data analysis lid a range of industries including Energy, Technology, Manufacturing and Construction, Chemicals and Materials, Food and Beverages. Etc Our research studies assist our clients to make higher data-driven decisions, admit push forecasts, capitalize coarsely with opportunities and optimize efficiency by bustling as their belt in crime to adopt accurate and indispensable mention without compromise. 

Having serviced on the pinnacle of 5000+ clients, we have provided expertly-behaved assert research facilities to more than 100 Global Fortune 500 companies such as Amazon, Dell, IBM, Shell, Exxon Mobil, General Electric, Siemens, Microsoft, Sony, and Hitachi.

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MongoDB Stock Slides By 18% In The Last 7 Days

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Shares of MongoDB dropped by a staggering 18.01% in 7 days from $312.99 to $256.62 at 22:45 EST on Thursday, after five consecutive sessions in a row of losses. NASDAQ Composite is rising 0.37% to $13,632.84, following the last session’s upward trend,

MongoDB’s last close was $271.99, 67.16% below its 52-week high of $428.96.

The company’s growth estimates for the current quarter and the next is a negative 176.9% and a negative 54.5%, respectively.

MongoDB’s Revenue

Year-on-year quarterly revenue growth grew by 38.4%, now sitting on 590.38M for the twelve trailing months.

MongoDB’s Stock Yearly Top and Bottom Value

MongoDB’s stock is valued at $256.62 at 22:45 EST, way below its 52-week high of $428.96 and way higher than its 52-week low of $129.10.

MongoDB’s Moving Average

MongoDB’s value is way under its 50-day moving average of $332.01 and way under its 200-day moving average of $309.63.

More news about MongoDB.

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