Book Image

Learning Cloudera Impala

By : Avkash Chauhan
Book Image

Learning Cloudera Impala

By: Avkash Chauhan

Overview of this book

<p>If you have always wanted to crunch billions of rows of raw data on Hadoop in a couple of seconds, then Cloudera Impala is the number one choice for you. Cloudera Impala provides fast, interactive SQL queries directly on your Apache Hadoop data stored in HDFS or HBase. In addition to using the same unified storage platform, Impala also uses the same metadata, SQL syntax (Hive SQL), ODBC driver, and user interface (Hue Beeswax) as Apache Hive. This provides a familiar and unified platform for batch-oriented or real-time queries.</p> <p>In this practical, example-oriented book, you will learn everything you need to know about Cloudera Impala so that you can get started on your very own project. The book covers everything about Cloudera Impala from installation, administration, and query processing, all the way to connectivity with other third party applications. With this book in your hand, you will find yourself empowered to play with your data in Hadoop.</p> <p>As a reader of this book, you will learn about the origin of Impala and the technology behind it that allows it to run on thousands of machines. You will learn how to install, run, manage, and troubleshoot Impala in your own Hadoop cluster using the step-by-step guidance provided in the book. The book covers tenets of data processing such as loading data stored in Hadoop into Impala tables and querying data using Impala SQL statements, all with various code illustrations and a real-world example.</p> <p>The book is written to get you started with Impala by providing rich information so you can understand what Impala is, what it can do for you, and finally how you can use it to achieve your objective.</p>
Table of Contents (15 chapters)
Learning Cloudera Impala
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

About the Author

Avkash Chauhan is a software technology veteran with more than 12 years of industry experience in various disciplines such as embedded engineering, cloud computing, big data analytics, data processing, and data visualization. He has an extensive global work experience with Fortune 100 companies worldwide. He has spent the last eight years at Microsoft before moving on to Silicon Valley to work with a big data and analytics start-up. He started his career as an embedded engineer; and during his eight-year long gig at Microsoft, he worked on Windows CE, Windows Phone, Windows Azure, and HDInsight. He spent several years working with the Windows Azure team to develop world-class cloud technology, and his last project was Apache Hadoop on Windows Azure, also known as HDInsight. He worked on the HDInsight project since its incubation at Microsoft, and helped its early development and then deployment on cloud. For the past three years, he has been working on big data- and Hadoop-related technologies by developing applications to make Hadoop easy to use for large- and mid-market companies. He is a prolific blogger and very active on the social networking sites. You can directly contact him through the following: