Ebook Spark Cookbook, by Rishi Yadav
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Spark Cookbook, by Rishi Yadav
Ebook Spark Cookbook, by Rishi Yadav
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By introducing in-memory persistent storage, Apache Spark eliminates the need to store intermediate data in filesystems, thereby increasing processing speed by up to 100 times.
This book will focus on how to analyze large and complex sets of data. Starting with installing and configuring Apache Spark with various cluster managers, you will cover setting up development environments. You will then cover various recipes to perform interactive queries using Spark SQL and real-time streaming with various sources such as Twitter Stream and Apache Kafka. You will then focus on machine learning, including supervised learning, unsupervised learning, and recommendation engine algorithms. After mastering graph processing using GraphX, you will cover various recipes for cluster optimization and troubleshooting.
- Sales Rank: #234510 in eBooks
- Published on: 2015-07-27
- Released on: 2015-07-27
- Format: Kindle eBook
About the Author
Rishi Yadav
Rishi Yadav has 17 years of experience in designing and developing enterprise applications. He is an open source software expert and advises American companies on big data trends. Rishi was honored as one of Silicon Valley's 40 under 40 in 2014. He finished his bachelor's degree at the prestigious Indian Institute of Technology (IIT) Delhi in 1998. About 10 years ago, Rishi started InfoObjects, a company that helps data-driven businesses gain new insights into data. InfoObjects combines the power of open source and big data to solve business challenges for its clients and has a special focus on Apache Spark. The company has been on the Inc. 5000 list of the fastest growing companies for 4 years in a row. InfoObjects has also been awarded with the #1 best place to work in the Bay Area in 2014 and 2015. Rishi is an open source contributor and active blogger.
Most helpful customer reviews
3 of 4 people found the following review helpful.
Fast food of the books
By Dimitri K
The book is written not too thoroughly. Simple stuff is clear, but it also can be found in online spec. The more complicated topics, like Kafka, are written hastily, figures don't explain the concepts, notations in the figures are not explained, etc. In other words, everything that is easy is presented okay. Everything that is not clear from other sources, is messy and not explained well. No deep knowledge or extensive experience or thorough work on the book.
0 of 0 people found the following review helpful.
Excellent
By Sanjay
Excellent book. Very Clear information for beginner & advanced developer. Information is to the point & practical. I like the way the chapters are laid out , progressing along from a hadoop developer, then transitioning to a Spark developer.....I hope the author enhances the content to include Spark 1.5 & 1.6 with details on EMR & EC2 usage for Spark
2 of 2 people found the following review helpful.
Spark Cookbook is a great book for venturing into Spark and get a hands ...
By Vasanth Nair
Spark Cookbook is a great book for venturing into Spark and get a hands on understanding of different Spark features via recipes .
This book covers recipes across different Spark Libraries namely Spark Core, Spark Streaming, Spark SQL, MLlib, GraphX etc.
Highly recommended for anybody who wants to get their feet wet in this bleeding edge technology of Big Data !!
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