Delve into the world of big data with 'Learning Hadoop 2', a comprehensive guide to leveraging the capabilities of Hadoop 2 for data processing and analysis. In this book, you will explore the tools and frameworks that integrate with Hadoop, discovering the best ways to design and deploy effective workflows for managing and analyzing large datasets. What this Book will help me do Understand the fundamentals of the MapReduce framework and its applications. Utilize advanced tools such as Samza and Spark for real-time and iterative data processing. Manage large datasets with data mining techniques tailored for Hadoop environments. Deploy Hadoop applications across various infrastructures, including local clusters and cloud services. Create and orchestrate sophisticated data workflows and pipelines with Apache Pig and Oozie. Author(s) Gabriele Modena is an experienced developer and trained data specialist with a keen focus on distributed data processing frameworks. Having worked extensively with big data platforms, Gabriele brings practical insights and a hands-on perspective to technical subjects. His writing is concise and engaging, aiming to render complex concepts accessible. Who is it for? This book is ideal for system and application developers eager to learn practical implementations of the Hadoop framework. Readers should be familiar with the Unix/Linux command-line interface and Java programming. Prior experience with Hadoop will be advantageous, but not necessary.