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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

Developing a brand and marketing of the enterprise

Business has changed a lot, especially in the last decade or so, and has become more of a customer driven society. Customers want to be known well and taken care of accordingly. Many customers are willing to share their details just so that businesses can understand them more, start giving more targeted offers, and also customize their services to cater to their preferences over a variety of channels available in this digital age.

The buyer is king and you have to keep him/her happy at all times. Data analysis in the Data Lake can help you understand customers better. It can be used as a way to develop your brand value and used in a very good way to engage, target and market your products.

Data analysis can help your business keep up with trends in the market in a proactive way, helping your business make better decisions and also proactively take new directions...

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