Ebook Free Spark: The Definitive Guide: Big Data Processing Made Simple
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Spark: The Definitive Guide: Big Data Processing Made Simple
Ebook Free Spark: The Definitive Guide: Big Data Processing Made Simple
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Book Description
Big data processing made simple
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About the Author
Bill Chambers is a Product Manager at Databricks focusing on large-scale analytics, strong documentation, and collaboration across the organization to help customers succeed with Spark and Databricks. He has a Master's degree in Information Systems from the UC Berkeley School of Information, where he focused on data science.Matei Zaharia is an assistant professor of computer science at Stanford University and Chief Technologist at Databricks. He started the Spark project at UC Berkeley in 2009, where he was a PhD student, and he continues to serve as its vice president at Apache. Matei also co-started the Apache Mesos project and is a committer on Apache Hadoop. Matei’s research work was recognized through the 2014 ACM Doctoral Dissertation Award and the VMware Systems Research Award.
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Product details
Paperback: 606 pages
Publisher: O'Reilly Media; 1 edition (March 8, 2018)
Language: English
ISBN-10: 1491912219
ISBN-13: 978-1491912218
Product Dimensions:
6.9 x 1.2 x 9.1 inches
Shipping Weight: 2.1 pounds (View shipping rates and policies)
Average Customer Review:
3.3 out of 5 stars
20 customer reviews
Amazon Best Sellers Rank:
#33,682 in Books (See Top 100 in Books)
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.
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.
Received a brand new copy of the book today. The book is one that I was definitely looking forward to keep as a reference. However, the print is very disappointing. Looks like colored text was converted to light gray on a white background. The code is hardly legible and shows up as something that came out of a printer dying of ink. Very disappointed and hope they release better prints soon. Returning back my copy. The rating is for the quality of the print and not the quality of the material.
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.
It is not fair if I say anything about the book content. But unfortunately, I cannot read the font and ink used for code blocks written in this book. It is really a bad idea to differentiate the code with the different font but even if they want to do that it has to be readable. I do not have any eyesight and I do not use the specs but still, I am unable to read the font used for the code. I am just returning this book as I do not need to struggle too much to read it.
The book covers most of the important concepts which are present in the latest version of spark.It has extensive examples in scala , python along with latest implementations like structured streaming. Overall a good purchase.
Great Book. Our company recently started using a new Big Data platform that utilized Spark.This book was exactly what I needed to get up and running.
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