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Data Lake for Enterprises

You're reading from   Data Lake for Enterprises Lambda Architecture for building enterprise data systems

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787281349
Length 596 pages
Edition 1st Edition
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Authors (3):
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Pankaj Misra Pankaj Misra
Author Profile Icon Pankaj Misra
Pankaj Misra
Tomcy John Tomcy John
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Tomcy John
Vivek Mishra Vivek Mishra
Author Profile Icon Vivek Mishra
Vivek Mishra
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction to Data FREE CHAPTER 2. Comprehensive Concepts of a Data Lake 3. Lambda Architecture as a Pattern for Data Lake 4. Applied Lambda for Data Lake 5. Data Acquisition of Batch Data using Apache Sqoop 6. Data Acquisition of Stream Data using Apache Flume 7. Messaging Layer using Apache Kafka 8. Data Processing using Apache Flink 9. Data Store Using Apache Hadoop 10. Indexed Data Store using Elasticsearch 11. Data Lake Components Working Together 12. Data Lake Use Case Suggestions

Hadoop ecosystem

Apart from the core components, Hadoop contains many tools and libraries existing on top of the core, collectively called the Hadoop ecosystem.

The following figure just lists a few commonly-used frameworks constituting the Hadoop ecosystem:

Figure 13: Hadoop Ecosystem (a few important components shown)

The following section tries to categorize these frameworks on top of Hadoop according to its core capability and briefly explains them. Getting into the details of each one is not possible and the section is intended for a skim knowledge so that you are well aware of Hadoop’s capabilities and choices.

The following section covers various frameworks in the Hadoop ecosystem, categorizing each into a capability. The various capabilities are these:

  • Data access/processing components
  • Data storage components
  • Monitoring, management, and orchestration components
  • Data integration components...
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