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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

Flink working example


This section details a full working example using Flink. Towards the end of this section, it also brings a connection of our use case with Flink and how its features are used.

Note

At the time of authoring this book, we had Flink Release Candidate 3 source code available for download, while official release of Flink 1.3.0 was just about to be released. As we observed Flink Release Candidate 3 (RC3) was versioned as 1.3.0, and its implementation is expected to be very close to the official release of Flink 1.3.0.

 

 

Installation

Follow the steps for full installation of Flink:

  1. Download the latest source code for release candidate of flink 1.3.0, which was RC3 (release candidate 3) at the time of authoring this book, using the following command in your download directory, ${DOWNLOAD_DIR}:
wget https://github.com/apache/flink/archive/release-1.3.0-rc3.zip
  1. Change to a user directory and extract the contents from the zip using the following command. Let us refer to the extracted...
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