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)

Roles and responsibilities of Hadoop administrators

Hadoop administration is highly technical work, where professionals need to have deeper understanding of the concepts of Hadoop, how it functions, and how it can be managed. The challenges faced by Hadoop administrators differ from other similar roles such as database or network administrators. For example, if you are a DBA, you typically get proactive alerts from the underlying database system when you run into tablespace threshold alerts when the disk space is not available for allocation, and you need to act on it, or else the operations will fail. In the case of Hadoop, the appropriate action is to move the job to another node in case it fails on one node due to sizing.

The following are the different responsibilities of a Hadoop administrator:

  • Installation and upgrades of clusters
  • Backup and disaster recovery
  • Application...