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#Apress “Practical Enterprise Data Lake Insights” – Published!

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Article originally posted on Data Science Central. Visit Data Science Central

Hello All,

Gives me immense pleasure to announce the release of our book “Practical Enterprise Data Lake Insights” with Apress. The book takes an end-to-end solution approach in a data lake environment that includes data capture, processing, security, and availability. Credits to the co-author of the book, Venkata Giri and technical reviewer, Sai Sundar.

The book is now available at various channels as subscription and in print (on request!) and e-book (e.g., Amazon/Kindle, Barnes & Noble/nook, Apress.com). Below are the Apress and Amazon links –

Apress – https://www.apress.com/gb/book/9781484235218

Amazon – https://www.amazon.com/Practical-Enterprise-Data-Lake-Insights/dp/1484235215/

Thank you for all your confidence, support, and encouragement. Thanks Monica Caldas, CIO (GE Transportation) for helping us with the Foreword column.

Brief about the book –

When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational data. Starting from sourcing data into the Hadoop ecosystem, you will go through stages that can bring up tough questions such as data processing, data querying, and security. Concepts such as change data capture and data streaming are covered. The book takes an end-to-end solution approach in a data lake environment that includes data security, high availability, data processing, data streaming, and more.

Each chapter includes application of a concept, code snippets, and use case demonstrations to provide you with a practical approach. You will learn the concept, scope, application, and starting point. Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.

 

What You’ll Learn:

  • Get to know data lake architecture and design principles
  • Implement data capture and streaming strategies
  • Implement data processing strategies in Hadoop
  • Understand the data lake security framework and availability model

Grab your copies fast. Enjoy reading!

Saurabh

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