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

Chapter 4. Data Access Components – Hive and Pig

Hadoop can usually hold terabytes or petabytes of data to process; hence Data Access is an extremely important aspect in any project or product, especially with Hadoop. As we deal with Big Data for processing data, we will have to perform some ad hoc processing to get insights of data and design strategies. Hadoop's basic processing layer is MapReduce, which as we discussed earlier, is a massively parallel processing framework that is scalable, faster, adaptable, and fault tolerant.

We will look at some limitations of MapReduce programming and some programming abstraction layers such as Hive and Pig in detail, which can execute MapReduce using a user friendly language for faster development and management. Hive and Pig are quite useful and handy when it comes to easily do some ad hoc analysis and some not very complex analysis.