Hbase Administration Cookbook [Paperback]

Master HBase configuration and administration for optimum database performance

• Move large amounts of data into HBase and learn how to manage it efficiently
• Set up HBase on the cloud, get it ready for production, and run it smoothly with high performance
• Maximize the ability of HBase with the Hadoop eco-system including HDFS, MapReduce, Zookeeper, and Hive

In Detail

As an Open Source distributed big data store, HBase scales to billions of rows, with millions of columns and sits on top of the clusters of commodity machines. If you are looking for a way to store and access a huge amount of data in real-time, then look no further than HBase.

HBase Administration Cookbook provides practical examples and simple step-by-step instructions for you to administrate HBase with ease. The recipes cover a wide range of processes for managing a fully distributed, highly available HBase cluster on the cloud. Working with such a huge amount of data means that an organized and manageable process is key and this book will help you to achieve that.

The recipes in this practical cookbook start from setting up a fully distributed HBase cluster and moving data into it. You will learn how to use all of the tools for day-to-day administration tasks as well as for efficiently managing and monitoring the cluster to achieve the best performance possible. Understanding the relationship between Hadoop and HBase will allow you to get the best out of HBase so the book will show you how to set up Hadoop clusters, configure Hadoop to cooperate with HBase, and tune its performance.

What you will learn from this book

• Set up a fully distributed, highly available HBase cluster and load data into it using the normal client API or your own MapReduce job
• Access data in HBase via HBase Shell or Hive using its SQL-like query language
• Backup and restore HBase table, along with its data distrl3µ