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Mastering Spark for Data Science Paperback – 29 Mar 2017
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About the Author
Andrew Morgan is a specialist in data strategy and its execution, and has deep experience in the supporting technologies, system architecture, and data science that bring it to life. With over 20 years of experience in the data industry, he has worked designing systems for some of its most prestigious players and their global clients – often on large, complex and international projects. In 2013, he founded ByteSumo Ltd, a data science and big data engineering consultancy, and he now works with clients in Europe and the USA. Andrew is an active data scientist, and the inventor of the TrendCalculus algorithm. It was developed as part of his ongoing research project investigating long-range predictions based on machine learning the patterns found in drifting cultural, geopolitical and economic trends. He also sits on the Hadoop Summit EU data science selection committee, and has spoken at many conferences on a variety of data topics. He also enjoys participating in the Data Science and Big Data communities where he lives in London.
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A word of caution though - don't buy this book thinking it will teach you how to use Kafka, Avro, NiFi, Accumulo - you will need to be well versed in how to use these products and link them as well as the usual Hadoop, Spark and Scala if you want to code the examples.
Most helpful customer reviews on Amazon.com
The indepth coverage in the book in terms of coverage, depth, variety of algorithms and the pure fun, elegance of working with Spark and Scala code - leaves nothing more to be desired from a book of this calibre. The code is well written, and tested and explanations of the reasoning behind the code - why it is used and appropriate usage as per the algorithm makes the book highly readable. I have read numerous books on Spark for Data Processing, Streaming and Machine Learning - and this one stands out in terms of its organization, approach to solving problems in the Data Science space.
I highly recommend the book. I have read the book 2 times ( while doing Technical reviewing - I was the technical reviewer of the book ) and again after it was published. I am hooked to reading it again.
This book will not teach you Spark in terms of its basics, deployments, performance tuning.