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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 Lake Use Case Suggestions

It's quite exhausting to write a book spanning nearly 500 pages, and its quite a big challenge going through these pages to understand what the author has been trying t o explain. In doing so, you would also have to do the hands-on coding so that everything read can be put into action. Indeed, you need a great appreciation for coming this far, going through the pages and also getting your hands dirty in actually implementing a Data Lake, which is considered quite a challenge as it involves myriad technologies. Hats off! Thanks for staying with us through out the book! I hope you have enjoyed reading every page, as we enjoyed writing each one.

This chapter aims at introducing some of the well-known data lake uses in an enterprise. Many companies have this already in some form or other and some are in the process of creating one.

These use cases can be considered as a way by which...

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