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

Hadoop solutions team

The rise of big data technology-based solutions has given birth to a new role: the data scientist. Data scientists, just like other scientists, perform a number of experiments to generate new insights and prove a hypothesis right or wrong. Data scientists perform their experiments on big data by combining their knowledge of statistics, computer science, and mathematics in solving data science problems (O'Reilly Media Inc., 2013).

The role of the data engineer

This book has focused on building Hadoop-based solutions with the help of tools available in the open source ecosystem. We have covered how various tools can be selected, installed, configured, and programmed to build a solution. Typically, these tasks will be performed by a data engineer. The data engineer has a strong knowledge of a number of tools available in the big data ecosystem. Data engineers will build data pipelines, program ELT routines, and design queries. They will have the skills to deploy a Hadoop...