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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
Author Profile Icon Tomcy John
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

Data Acquisition of Stream Data using Apache Flume

To continue with the approach of exploring various technologies and layer in Data Lakes, this chapter aims to cover another technology being used in the data acquisition layer. Similar to the previous chapter (and, in fact, every other chapter in this part of the book), we will first start with the overall context in purview of Data Lake and then delve deep into the selected technology.

Before delving deep into the chosen technology, we will give our reasons for choosing this technology and also will familiarize you with adequate details so that you are acquainted with enough details to go back to your enterprise and start actually using these technologies in action.

This chapter deals with Apache Flume, the second technology in the data acquisition layer. We will start off lightly on Apache Flume and then dive deep into the nitty-gritties. Finally we will show...

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