Book Image

Hadoop Essentials

By : Shiva Achari
Book Image

Hadoop Essentials

By: Shiva Achari

Overview of this book

This book jumps into the world of Hadoop and its tools, to help you learn how to use them effectively to optimize and improve the way you handle Big Data. Starting with the fundamentals Hadoop YARN, MapReduce, HDFS, and other vital elements in the Hadoop ecosystem, you will soon learn many exciting topics such as MapReduce patterns, data management, and real-time data analysis using Hadoop. You will also explore a number of the leading data processing tools including Hive and Pig, and learn how to use Sqoop and Flume, two of the most powerful technologies used for data ingestion. With further guidance on data streaming and real-time analytics with Storm and Spark, Hadoop Essentials is a reliable and relevant resource for anyone who understands the difficulties - and opportunities - presented by Big Data today. With this guide, you'll develop your confidence with Hadoop, and be able to use the knowledge and skills you learn to successfully harness its unparalleled capabilities.
Table of Contents (15 chapters)
Hadoop Essentials
About the Author
About the Reviewers
Pillars of Hadoop – HDFS, MapReduce, and YARN

Sqoop 2 architecture

Sqoop 2 architecture overcomes the limitations of Sqoop 1, which we discussed earlier. The features of Sqoop 2 are:

  • Sqoop 2 exposes REST API as a web service, which can be easily integrated with other systems.

  • The connectors and drivers are managed centrally in one place.

  • Sqoop 2 is well configured and integrated with HBase, Hive, and Oozie for interoperability and management.

  • Connectors can be non-JDBC based.

  • As a service-oriented design, Sqoop 2 can have role-based authentication and audit trail logging to increase the security.

The following is an architecture of Sqoop 2: