Spark: The Definitive Guide: Big Data Processing Made Simple

Absolutely loved it. The packaging was good, received the book before time, and condition was good.

Love the book. It gets hands on right away and give you both scala and python versions of code. I used databricks community version of spark. Some code is wrong. Python is sometimes but rarely missing. Highly recommend this to anyone who is looking to gain knowledge in Spark

+s:+ Great intro text.+ Very detailed with lots of code samples.+ ML section is thorough (if limited in depth)+ all code is on GitHub :)+ conceptual+ tuning and optimizations sections-s:- Organization is a little choppy - to understand Structured Streamimg aggregations requires jumping back and forth to aggregations section (for example)- Copy-pasting code samples is annoying.- Kindle for Mac is sucky: resizing windows and adjusting text size breaks the flow, sometimes requiring a restart. Indexing is weird and it ”depaginates”- Could use a few sections in wide vs narrow...

I wasn’t sure about this book initially but as I started to use spark and read the book in parallel I discovered it explained very well the behind the scene that I needed to understand. I would recommend this to people that already program in other languages such as Python and want to start using pyspark

This book presents the main Spark concepts, particularly the v2.x Structured API in tutorial fashion using Scala and Python. Much of this information is available piecemeal online, but I found it valuable to have it ordered and explained thoroughly rather than digging through stackoverflow or trying to make sense of the docs.After presenting how Spark works and the Structured and low level RDD APIs, the book helps you deploy, monitor, and tune your application to run on a cluster. There is a detailed section on Structured Streaming explaining windowing and event time processing, plus a section on advanced machine learning analytics.

Apache Spark is a powerful platform for Big Data applications that explores a lot of advanced techniques.The book describes clearly and systematically the Spark architecture and has a lot of outstanding examplesthat help the reader to become familiar with the rather brilliant Spark programming models.The presentation of the material is excellent and the explanations are quite supportive and help the understanding.It is a very nice book on the very admirable Spark system!

Despite big volume - 600 pages this is far the best tech book I have read so far. Very well structured, covers different levels - from beginner to expert, excellent diagrams and code examples.

This is a great beginner to intermediate book on Spark. The authors did an excellent job explaining concepts and gave a lot of examples (in Scala and Python).My only complaint is that you can't use Kindle Cloud Reader. For a normal book it might not be an issue, but for a programming book, you'd probably want to read it on your computer so you can take notes, type in examples, and search. I've bought other O'Reilly books and haven't had this issue in the past (this book seems to be the exception). Right now you're limited to kindle apps so a table might look like this on your phone or tablet:+---------------------------+| some_field| another_field+---------------------------+| a| bThe more I reference this book, the more I think its a big disadvantage.