Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis

Mr. Guller has done a fabulous job by writing "Big Data Analytics with Spark". It's a very good introductory book for anyone to get started. It walks through numerous set of examples, including a primer to Bigdata and Scala. Then it moves on to Spark. A must have for all the beginners.

This book is both a reference and a tutorial. It covers the full length of Spark's features and has numerous well thought examples that you can select, copy-paste and use in your applications. It also has great images and plots and especially in the ML and Graph sections it helps you understand quickly what a method is all about. It's a must-have for every Spark practitioner.

I liked the book. it nice and simple and good for beginners. One issue I found is that this book covers the the entire spark eco-system (spark core, spark sql, spark streaming, mllib) in a very brief way. it doesn't go deep into any of the topics. This makes it very similar to the spark programming guide on the web which also adopts a similar pattern. What would have been nice if the author would have gone deep into spark-core. Upon reading this book, it didn't teach me anything more than the spark programming guide

I have just finished the book and I have really enjoyed it. It gives you an overall idea of how Spark works, which can be a bit overwhelming and fuzzy at first. It is written in a very concise and straight way. At the end, you see how all these pieces in the puzzle fit together! Great book