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Chapters 1: Introduction

Explore the basics of Apache Hadoop, including the Hadoop Distributed File System (HDFS), MapReduce, and the anatomy of a Hadoop cluster.

Chapters 2: Hadoop Basics

Explore the theory behind the creation of Hadoop, the anatomy of Hadoop itself, and an overview of complimentary projects that make up the Hadoop ecosystem. We then share several Hadoop use cases across a few industries including financial services, insurance, telecommunications, intelligence, and healthcare.

Chapter 3 : Hadoop Basic Concepts

There are many components working together in the Apache Hadoop stack. By understanding how each functions, you gain more insight into Hadoop’s functionality in your own IT environment. This chapter goes beyond the motivation for Apache Hadoop and dissects the Hadoop Distributed File System (HDFS), MapReduce, and the general topology of a Hadoop cluster.

Chapter 4: Hadoop Solutions

Learn how Apache Hadoop is used in the real world. This chapter explores ways to use Apache Hadoop to harness Big Data and solve business problems in ways never before imaginable. Explore common business challenges that can be addressed using Hadoop, the origins of Big Data, types of analyses powered by Hadoop, and industry use cases for Hadoop.

Chapter 5: The Hadoop Ecosystem

Various projects make up the Apache Hadoop ecosystem, and each improves data storage, management, interaction, and analysis in its own unique way. This chapter reviews Hive, Pig, Impala, HBase, Flume, Sqoop, and Oozie, how they function within the stack and how they help integrate Hadoop within the production environment.

Chapter 6: Managing Your Hadoop Solution

It is critical to understand how Apache Hadoop will affect the current setup of the data center and to plan ahead. This chapter helps you seamlessly integrate the platform into your environment. Find out what resources are required to deploy Hadoop, how to plan for cluster capacity, and how to staff for your Big Data strategy.


Chapter 7: Conclusion

Once you have Hadoop implemented in your environment, what’s next? How do you get the most out of the technology while managing it on a daily basis? This chapter reviews the previous topics, introduces CDH (Cloudera's Distribution Including Apache Hadoop), and describes how Cloudera can help you maximize the value of all your data.

Next Steps

Online Training

Cloudera Manager: learn how you can increase the performance and decrease the costs associated with your cluster.


Enterprise data hub: check out the next big thing driving business value from big data.


Insight into the EDH: learn how the enterprise data hub can transform your business and deliver competitive advantage.