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

Traditional systems


Traditional systems are good for OLTP (online transaction processing) and some basic Data Analysis and BI use cases. Within the scope, the traditional systems are best in performance and management. The following figure shows a traditional system on a high-level overview:

Traditional systems with BIA

The steps for typical traditional systems are as follows:

  1. Data resides in a database

  2. ETL (Extract Transform Load) processes

  3. Data moved into a data warehouse

  4. Business Intelligence Applications can have some BI reporting

  5. Data can be used by Data Analysis Application as well

When the data grows, traditional systems fail to process, or even store, the data; and even if they do, it comes at a very high cost and effort because of the limitations in the architecture, issue with scalability and resource constraints, incapability or difficulty to scale horizontally.

Database trend

Database technologies have evolved over a period of time. We have RDBMS (relational database), EDW (Enterprise...