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)

Using HBase for NoSQL storage

Apache HBase provides a distributed, columnar key-value-based storage on Apache Hadoop. It is best suited when you need to perform read-writes randomly on large and varying data stores. HBase is capable of distributing and sharding its data across multiple nodes of Apache Hadoop, and it also provides high availability through its automatic failover from one region server to another. Apache HBase can be run in two modes: standalone and distributed. In the standalone mode, HBase does not use HDFS and instead uses a local directory by default, whereas the distributed mode works on HDFS.

Apache HBase stores its data across multiple rows and columns, where each row consists of a row key and a column containing one or more values. A value can be one or more attributes. Column families are sets of columns that are collocated together for performance reasons...