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)

Real-time streaming with Apache Storm

Apache Storm provides a distributed real-time computational capability for processing large amounts of data with high velocity. This is one of the reasons why it is being used primarily for real-time streaming data for rapid analytics. Storm is capable of processing over thousands of data records per second on a distributed cluster. Apache Storm runs on YARN framework and can connect with queues such as JMS and Kafka or to any type of database or it can listen to streaming APIs feeding information continuously, such as Twitter-streaming APIs and RSS feeds.

Apache Storm uses networks of spouts, bolts, and sinks called topology to address any kind of complex problems. Spouts represents a source where Storm is collecting information such as APIs, databases, or message queues. Bolts provide computation logic for an input stream and they produce...