This fast-paced guide navigates through key features of Hadoop, offering an efficient journey for those seeking comprehensive insights into managing and optimizing datasets
Key Features
Get to grips with the most powerful tools in the Hadoop ecosystem, including Storm and Spark
Learn everything you need to take control of Big Data
A fast-paced journey through the key features of Hadoop
Book Description
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.
What you will learn
Get to grips with the fundamentals of Hadoop, and tools such as HDFS, MapReduce, and YARN
Learn how to use Hadoop for realworld Big Data projects
Improve the performance of your Big Data architecture
Find out how to get the most from data processing tools such as Hive and Pig
Learn how to unlock realtime Big Data analytics with Apache Spark
Who this book is for
If you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. This book is also meant for Hadoop professionals who want to find solutions to the different challenges you come across in your projects. It assumes a familiarity with distributed storage and distributed applications.