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

Hadoop integration

Hadoop architecture is designed to be easily integrated with other systems. Integration is very important because although we can process the data efficiently in Hadoop, but we should also be able to send that result to another system to move the data to another level. Data has to be integrated with other systems to achieve interoperability and flexibility.

The following figure depicts the Hadoop system integrated with different systems and with some implemented tools for reference:

Hadoop Integration with other systems

Systems that are usually integrated with Hadoop are:

  • Data Integration tools such as, Sqoop, Flume, and others

  • NoSQL tools such as, Cassandra, MongoDB, Couchbase, and others

  • ETL tools such as, Pentaho, Informatica, Talend, and others

  • Visualization tools such as, Tableau, Sas, R, and others