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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
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Authors (3):
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Sudheesh Narayan Sudheesh Narayan
Author Profile Icon Sudheesh Narayan
Sudheesh Narayan
Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
Anurag Shrivastava Anurag Shrivastava
Author Profile Icon Anurag Shrivastava
Anurag Shrivastava
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Table of Contents (9) Chapters Close

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

Engineering the solution

We will engineer the solution by breaking down the problem into several parts. In each part, we will perform a step to import or transform the data. Finally, we will bring everything together to create the view. To engineer the solution, we will use Sqoop to load customer master data from MySql RDBMS into Hive. We will use HDFS copy commands to load the Apache Access logs and tweets in Hadoop.

In the 360-degree view of the customer, we will combine the information from the following sources:

  • Full name, gender, userID, and e-mail from customer master data as the data from the system of records
  • Brand names frequently visited on Cosmetica's web shop as the data from web logs
  • Tweets on certain topics as the social media data

Engineering the solution
Figure 5 360-degree view combines data from various sources

You should bear in mind that we have taken a small set of data sources to create the 360-degree view. In practice, you should think of several data sources that can be used to build...

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