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Practical enterprise data lake insig...

Giri, Venkata.

Practical enterprise data lake insightshandle data-driven challenges in an enterprise big data lake /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Practical enterprise data lake insightsby Saurabh Gupta, Venkata Giri.
其他題名:	handle data-driven challenges in an enterprise big data lake /
作者:	Gupta, Saurabh.
其他作者:	Giri, Venkata.
出版者:	Berkeley, CA :Apress :2018.
面頁冊數:	xviii, 327 p. :digital ;24 cm.
Contained By:	Springer eBooks
標題:	Electronic data processingDistributed processing
電子資源:	http://dx.doi.org/10.1007/978-1-4842-3522-5
ISBN:	9781484235225$q(electronic bk.)

Practical enterprise data lake insightshandle data-driven challenges in an enterprise big data lake /
Gupta, Saurabh.

Practical enterprise data lake insightshandle data-driven challenges in an enterprise big data lake /[electronic resource] :by Saurabh Gupta, Venkata Giri. - Berkeley, CA :Apress :2018. - xviii, 327 p. :digital ;24 cm.

Chapter 1: Introduction to Enterprise Data Lakes -- Chapter 2: Data Lake Ingestion Strategies -- Chapter - 3: Capture Streaming Data with Change-Data-Capture -- Chapter 4: Data Processing Strategies in Data Lakes -- Chapter 5: Data Archiving Strategies in Data Lakes -- Chapter 6: Data Security in Data Lakes -- Chapter 7: Ensuring High-Availability of Data Lakes -- Chapter 8: Managing Data Lake Operations.

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.

ISBN: 9781484235225$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-3522-5doiSubjects--Topical Terms:

719934
Electronic data processing
--Distributed processing

LC Class. No.: QA76.9.D5 / G878 2018

Dewey Class. No.: 004.36

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