Practical Enterprise Data Lake Insights

Handle Data-Driven Challenges in an Enterprise Big Data Lake

Nonfiction, Computers, Database Management, Data Processing, General Computing
Cover of the book Practical Enterprise Data Lake Insights by Saurabh Gupta, Venkata Giri, Apress
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Author: Saurabh Gupta, Venkata Giri ISBN: 9781484235225
Publisher: Apress Publication: June 27, 2018
Imprint: Apress Language: English
Author: Saurabh Gupta, Venkata Giri
ISBN: 9781484235225
Publisher: Apress
Publication: June 27, 2018
Imprint: Apress
Language: English

Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.

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.

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

Who This Book Is For

Big data architects and solution architects

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.

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.

What You'll Learn

Who This Book Is For

Big data architects and solution architects

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