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Hadoop Blueprints

Hadoop Blueprints

By : Sudheesh Narayan, Anurag Shrivastava, Deshpande
5 (1)
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Hadoop Blueprints

Hadoop Blueprints

5 (1)
By: Sudheesh Narayan, Anurag Shrivastava, Deshpande

Overview of this book

If you have a basic understanding of Hadoop and want to put your knowledge to use to build fantastic Big Data solutions for business, then this book is for you. Build six real-life, end-to-end solutions using the tools in the Hadoop ecosystem, and take your knowledge of Hadoop to the next level. Start off by understanding various business problems which can be solved using Hadoop. You will also get acquainted with the common architectural patterns which are used to build Hadoop-based solutions. Build a 360-degree view of the customer by working with different types of data, and build an efficient fraud detection system for a financial institution. You will also develop a system in Hadoop to improve the effectiveness of marketing campaigns. Build a churn detection system for a telecom company, develop an Internet of Things (IoT) system to monitor the environment in a factory, and build a data lake – all making use of the concepts and techniques mentioned in this book. The book covers other technologies and frameworks like Apache Spark, Hive, Sqoop, and more, and how they can be used in conjunction with Hadoop. You will be able to try out the solutions explained in the book and use the knowledge gained to extend them further in your own problem space.
Table of Contents (9 chapters)
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Chapter 2. A 360-Degree View of the Customer

In this chapter, we will take the example of a fictitious company called Cosmetica Inc. This company was founded in 1983, when the web commerce was invented. From its humble start as a small shop in Uden, it has now more than 300 shopping outlets. The company also runs a web shop where customers can buy products 24x7. The company is planning to launch a personalized shopping service where the customer will get assistance in choosing the right product.

This company is interested in building a 360-degree view of customers who often visit their web shop, and who are also active on social media. To build a 360-degree view, we will follow the following steps in this chapter:

  • Understanding the data required in the 360-degree view
  • Setting up the technology stack
  • Engineering the solution
  • Presenting the solution using a web interface

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