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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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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

Lambda Architecture as a Pattern for Data Lake

In the previous chapter, while going through the concepts of Data Lakes, you were introduced a bit to Lambda Architecture. In this chapter, we will go into a bit of detail on Lambda Architecture and also try to explain the significance of this important architecture pattern in this book's Data Lake implementation.

This chapter, though it tries to cover this architecture paradigm in detail, doesn't give any technology implementation. This is intentional to make sure that you understand the concepts of these patterns first; once that is achieved, the following chapters will detail this pattern with technology backing.

After going through this chapter, you will learn the Lambda Architecture pattern in detail. Once you learn this pattern, you will also see how it forms an integral part of our Data Lake construction.

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