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
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
3
Pillars of Hadoop – HDFS, MapReduce, and YARN
Index

NoSQL databases


We have already discussed about NoSQL as one of the emerging and adopted systems. Within Hadoop ecosystem, we have a NoSQL database called HBase. HBase is one of the key component that provides a very flexible design and high volume simultaneous reads and write in low latency hence it is widely adopted.

Apache HBase

HBase is inspired from Google's Big Table. HBase is a sorted map, which is sparse, consistent, distributed, and multidimensional. HBase is a NoSQL, column oriented database and a key/value store, which works on top of HDFS. HBase provides faster lookup and also high volume inserts/updates of a random access request on a high scale. The HBase schema is very flexible and actually variable, where the columns can be added or removed at runtime. HBase supports low-latency and strongly consistent read and write operations. It is suitable for high-speed counter aggregation.

Many organizations or companies use HBase, such as Yahoo, Adobe, Facebook, Twitter, Stumbleupon,...