Book Image

Hadoop Blueprints

By : Anurag Shrivastava, Tanmay Deshpande
Book Image

Hadoop Blueprints

By: Anurag Shrivastava, Tanmay 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 (14 chapters)
Hadoop Blueprints
About the Authors
About the Reviewers

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

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 and enrich...