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Hadoop Blueprints

You're reading from   Hadoop Blueprints Use Hadoop to solve business problems by learning from a rich set of real-life case studies

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781783980307
Length 316 pages
Edition 1st Edition
Languages
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Authors (3):
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Sudheesh Narayan Sudheesh Narayan
Author Profile Icon Sudheesh Narayan
Sudheesh Narayan
Anurag Shrivastava Anurag Shrivastava
Author Profile Icon Anurag Shrivastava
Anurag Shrivastava
 Deshpande Deshpande
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Deshpande
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Toc

Table of Contents (14) Chapters Close

Hadoop Blueprints
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Hadoop and Big Data FREE CHAPTER 2. A 360-Degree View of the Customer 3. Building a Fraud Detection System 4. Marketing Campaign Planning 5. Churn Detection 6. Analyze Sensor Data Using Hadoop 7. Building a Data Lake 8. Future Directions

Summary


In this chapter, we started with basic understanding of a customer 360-degree view and how it can be useful. We explored tools such as Hive and Sqoop. We worked with MySQL and HDFS to extract, load, and transform data. We used structured data, web logs, and tweets to build our customer 360-degree view. We performed batch processing on various datasets that contribute to building the 360-degree view.

In this chapter, we carried out extract, load, and transform (ELT) tasks manually. This will not be practical in a real-life situation. With the help of schedulers and workflow tools, we can automate ELT tasks and build a data pipeline.

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