Hadoop Blueprints

Use Hadoop to solve business problems by learning from a rich set of real-life case studies

Hadoop Blueprints

Anurag Shrivastava, Tanmay Deshpande

1 customer reviews
Use Hadoop to solve business problems by learning from a rich set of real-life case studies
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Book Details

ISBN 139781783980307
Paperback316 pages

Book Description

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

What You Will Learn

  • Learn about the evolution of Hadoop as the big data platform
  • Understand the basics of Hadoop architecture
  • Build a 360 degree view of your customer using Sqoop and Hive
  • Build and run classification models on Hadoop using BigML
  • Use Spark and Hadoop to build a fraud detection system
  • Develop a churn detection system using Java and MapReduce
  • Build an IoT-based data collection and visualization system
  • Get to grips with building a Hadoop-based Data Lake for large enterprises
  • Learn about the coexistence of NoSQL and In-Memory databases in the Hadoop ecosystem

Authors

Table of Contents

Book Details

ISBN 139781783980307
Paperback316 pages
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