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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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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

Knowing more about Serving Layer

The layer in our Data Lake that interacts with the outside world is the serving layer. The layer where data in the lake is served to varied number for people according to the requirement. We will discuss in brief some of the important aspects that needs to be considered in regards to this layer. This layer does employ a number of technologies to help serve data to the end users. Most of the technologie fall in the category of persistent store apt for the data it serves. It can have relational databases, NoSQL databases, document stores, Key-Value stores, Column databases and so on.

Principles of Serving Layer

We have delved a bit deep into the serving layer in part 1 of this book. This is just a recap as these principles drive choice...

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