Book Image

Apache Hadoop 3 Quick Start Guide

By : Hrishikesh Vijay Karambelkar
Book Image

Apache Hadoop 3 Quick Start Guide

By: Hrishikesh 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)

Monitoring and Administration of a Hadoop Cluster

Previously, we have seen YARN and gained a deeper understanding of its capabilities. This chapter is focused on introducing you to the process-oriented approach to managing, monitoring, and optimizing your Hadoop cluster. We have already covered part of administration, when we set up a single node, a pseudo-distributed node, and a fully fledged distributed Hadoop cluster. We covered sizing the cluster, which is needed as part of the planning activity. We have also gone through some developer and system CLIs in the respective chapters on HDFS, MapReduce, and YARN. Hadoop administration is a vast topic; you will find lot of books dedicated to this activity in the market. I will be touching on key points of monitoring, managing, and optimizing your cluster.

We will cover the following topics:

  • Roles and responsibilities of Hadoop...