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

Advantages of HBase

HBase has good number of benefits and is a good solution in many use cases. Let us check some of the advantages of HBase:

  • Random and consistent Reads/Writes access in high volume request

  • Auto failover and reliability

  • Flexible, column-based multidimensional map structure

  • Variable Schema: columns can be added and removed dynamically

  • Integration with Java client, Thrift and REST APIs

  • MapReduce and Hive/Pig integration

  • Auto Partitioning and sharding

  • Low latency access to data

  • BlockCache and Bloom filters for query optimization

  • HBase allows data compression and is ideal for sparse data