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Best Hadoop Books

The AI Optify data team writes about topics that we think data scientists will love. AI Optify has affiliate partnerships so we may get a share of the revenue from your purchase.

Best Hadoop Books - For this post, we have scraped various signals (e.g. reviews/ratings, covered topics, author influence in the field, year of publication, social media mentions etc.) from web for a number of Hadoop books. We have fed all above signals to a trained Machine Learning algorithm to compute a score for each book and rank the top books.

The readers will love our list because it is Data-Driven & Objective. Enjoy the list:

1. Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale

Quality Score: 100/100

Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You’ll learn about recent changes to Hadoop, and explore new case studies on Hadoop’s role in healthcare systems and genomics data processing.