Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Apache Hadoop 3 Quick Start Guide
  • Toc
  • feedback
Apache Hadoop 3 Quick Start Guide

Apache Hadoop 3 Quick Start Guide

By : Vijay Karambelkar
close
Apache Hadoop 3 Quick Start Guide

Apache Hadoop 3 Quick Start Guide

By: Vijay Karambelkar

Overview of this book

Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics, including MapReduce, YARN, and HDFS. The book begins with an overview of big data and Apache Hadoop. Then, you will set up a pseudo Hadoop development environment and a multi-node enterprise Hadoop cluster. You will see how the parallel programming paradigm, such as MapReduce, can solve many complex data processing problems. The book also covers the important aspects of the big data software development lifecycle, including quality assurance and control, performance, administration, and monitoring. You will then learn about the Hadoop ecosystem, and tools such as Kafka, Sqoop, Flume, Pig, Hive, and HBase. Finally, you will look at advanced topics, including real time streaming using Apache Storm, and data analytics using Apache Spark. By the end of the book, you will be well versed with different configurations of the Hadoop 3 cluster.
Table of Contents (10 chapters)
close

Summary

In this chapter, we have gone through different activities performed by Hadoop administrators for monitoring and optimizing the Hadoop cluster. We looked at the roles and responsibilities of an administrator, followed by cluster planning. We did a deep dive into key management aspects of the hadoop cluster, such as resource management through job scheduling with algorithms such as Fair Scheduler and Capacity Scheduler. We also looked at ensuring high availability and security for the Apache hadoop cluster. This was followed by the day-to-day activities of Hadoop administrators, covering adding new nodes, archiving, hadoop Metric, and so on.

In the next chapter, we will look at Hadoop ecosystem components, which help the business develop big data applications rapidly.

bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete