Learning Hadoop 2

Key Features

Book Description

What you will learn

• Write distributed applications using the MapReduce framework
• Go beyond MapReduce and process data in real time with Samza and iteratively with Spark
• Familiarize yourself with data mining approaches that work with very large datasets
• Prototype applications on a VM and deploy them to a local cluster or to a cloud infrastructure (Amazon Web Services)
• Conduct batch and real time data analysis using SQLlike tools
• Build data processing flows using Apache Pig and see how it enables the easy incorporation of custom functionality
• Define and orchestrate complex workflows and pipelines with Apache Oozie
• Manage your data lifecycle and changes over time

Who this book is for

If you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. You are expected to be familiar with the Unix/Linux command-line interface and have some experience with the Java programming language. Familiarity with Hadoop would be a plus.