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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

Know the customers dealing with your enterprise

In the age of digital transformation and digital disruption, getting to know each customer and their preferences is key. Also, using these preferences and choices, customizing products and offering personalized versions suitable for a specific customer is a necessary function.

Quite often in enterprises, customer data lives in discrete business applications and they don't necessarily exchange data with each other. Our single customer view is one way of bringing customer data from various sources into one and creating this so called single customer view. But that isn't enough in this digital world as customers tend to expect more and this demands enriching the customer data with more personalized data so as to analyse those details and start offering products and services quite targeted and personalized in nature. This makes products and services that are...

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