Hadoop® 2 Quick-Start Guide

• More information and to buy a copy: InformIT, Amazon, Safari, Barnes & Noble. Thank You!
• Download the examples and notes tgz or zip
• Ask questions about the book and examples using this site. You need to register first.
• Also check out Hadoop Fundamentals LiveLessons. An on-line video tutorial that mirrors the book.
• New book for the next step in scalable analytics: Practical Data Science with Hadoop and Spark.

With Hadoop 2+ and YARN, Hadoop moves beyond MapReduce to become practical for virtually any type of data processing. Hadoop 2+ and the Data Lake concept represent a radical shift away from conventional approaches to data usage and storage. Hadoop 2+installations offer unmatched scalability and breakthrough extensibility that supports new and existing Big Data analytics processing methods and models.

Hadoop® 2 Quick-Start Guide is the first easy, accessible guide to Apache Hadoop 2+ (including Hadoop Version 3), YARN, and the modern Hadoop ecosystem. Building on his unsurpassed experience teaching Hadoop and Big Data, author Douglas Eadline covers all the basics you need to know to install and use Hadoop 2 on personal computers or servers, and to navigate the powerful technologies that complement it.

Eadline concisely introduces and explains every key Hadoop 2+ concept, tool, and service, illustrating each with a simple “beginning-to-end” example and identifying trustworthy, up-to-date resources for learning more. This guide is ideal if you want to learn about Hadoop 2+ without getting mired in technical details. Douglas Eadline will bring you up to speed quickly, whether you’re a user, admin, devops specialist, programmer, architect, analyst, or data scientist.

Additional Learning

Check out the Online Trainings offered by Douglas Eadline. These include Hadoop, Spark, Data Engineering, Data Science, Kubernetes, Linux command line, and more.

All classes provided ample time for interactive questions. After attending, the course can be streamed at any time.

To learn about Data Analytics with Hadoop check out the latest book on Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale.