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)

Transferring data with Sqoop

The beauty of Apache Hadoop lies in its ability to work with multiple data formats. HDFS can reliably store information flowing from a variety of data sources, whereas Hadoop requires external interfaces to interact with storage repositories outside of HDFS. Sqoop helps you to address part of this problem by allowing users to extract structured data from a relational database to Apache Hadoop. Similarly, raw data can be processed in Hadoop, and the final results can be shared with traditional databases thanks to Sqoop's bidirectional interfacing capabilities.

Sqoop can be downloaded from the Apache site directly, and it supports client-server-based architecture. A server can be installed on one of the nodes, which then acts as a gateway for all Sqoop activities. A client can be installed on any machine, which will eventually connect with the server...