Authors
Anurag Shrivastava
Tanmay Deshpande
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Wissem El Khlifi
Randal Scott King
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Hadoop Blueprints
By :
Hadoop Blueprints
By:
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 (14 chapters)
Hadoop Blueprints
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Hadoop and Big Data
A 360-Degree View of the Customer
Building a Fraud Detection System
Marketing Campaign Planning
Churn Detection
Analyze Sensor Data Using Hadoop
Building a Data Lake
Future Directions
Customer Reviews