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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

Summary

In this chapter, we delved deep into some of the common terminologies in the industry. We started the chapter by understanding data, enterprise data, and all important big data. We then dealt with the relevance of data, including various data quality attributes. After that, we went into the details of the different types of data classification and where the data lives in an enterprise.

In the sections that followed, we dealt with digital transformation and finished the chapter with the use case that we will be implementing throughout this book in more detail.

After completing this chapter, you will have clearly grasped many terminologies and will also have a good understanding of the significance of data and Data lake to an enterprise. Along with that, you will have a very good idea about the use case and its relevance.

In the next chapter, we will delve deep into Data lake and also the pattern that we will use in implementing Data lake in more detail.

You have been reading a chapter from
Data Lake for Enterprises
Published in: May 2017
Publisher: Packt
ISBN-13: 9781787281349
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