learning spark: lightning-fast big data analysis (pdf book) - lightning-fast big data analysis understand this, it can often be difficult for us to be able to put our. We hope that this book gives you the tools to quickly tackle data analysis problems, . Apache Spark is a cluster computing platform designed to be fast and. Editorial Reviews. About the Author. Holden Karau is transgender Canadian, and anactive open source contributor. When not in San Francisco working as.
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Patrick Wendell & Matei Zaharia. Learning. Spark. LIGHTNING-FAST DATA you can tackle big datasets quickly through simple APIs in Python, Java. Contribute to naveenkrsh/books development by creating an account on GitHub. Books Learning Spark Lightning Fast Big Data Analysis Andy Konwinski Pdf learning spark: lightning-fast big data analysis - download learning spark.
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Product details File Size: Unlimited Publisher: January 28, Sold by: English ASIN: Enabled X-Ray: Not Enabled. Machine Learning. Computer Science. Is this feature helpful? Thank you for your feedback.
Share your thoughts with other customers. Write a customer review. Read reviews that mention apache spark machine learning big data learning spark scala and python python and java well written example code good book java python code examples data scientists introduction to spark spark sql introduction to apache scala vs python vs java advanced spark good read concepts of apache spark spark concepts.
Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now. Please try again later. Paperback Verified Purchase. Spark is already 2. This book only covers the very basics of Spark, none of the advanced Spark concepts are covered.
Your best bet would be to read some slides on Slideshare, follow databricks documentation, there are some decent youtube videos aswell, lastly Apache Spark's documentation is not bad at all. Excellent reference for Spark. Kindle Edition Verified Purchase. I found this volume to be an excellent reference book for a Spark learner like me. I am a software developer, and several reviews suggested that this volume was too basic. I shouldn't have followed their advice.
I bought an "advanced" book, instead, only to find myself left without material to fill in some important gaps. The information that is available on the Internet is great, but this book brings much of it together in one place. I bought this book for work to supplement the the data pipeline tasks that I was working on using Spark.
This is a great introductory piece for important concepts such as RDD, spark job lifecycle, components of a spark job and spark job performance improvements. It provided with a good fundamental understanding of Spark that I can further enhance with researches I found online.
Good read, I highly recommend for anyone who is new to Spark and is curious to learn its basics.
I feel this is a decent compilation of the resources available over the internet. That way, it reduces the time needed for getting started with Spark.
This book is definitely suitable anyone new to Spark and Big Data Processing. But for someone who has already worked with Spark and faced some challenges, this may not be helpful. This book provides a good introduction to Spark theory. The first few chapters can be read sequentially, then the book branches out into special topics. It's also got a picture of a catshark on the cover, which is pretty neat.
One person found this helpful. It used to be one of the best book. Very good explanation of core concepts. Now with Spark 2.
It is well written. It teaches a lot of basic about spark but definitely not a very good tool book for solving problems in a short time period. The code examples are incomplete and discrete.
The core Spark concepts are there but Spark: The Definitive Guide which I subsequently purchased would be a better purchase to make than Learning Spark.
It's unfortunate there's not an updated edition of Learning Spark because it's a great introduction to Spark IMO despite the dated content in certain areas.
I recommend ignoring the installation instructions altogether and just jump forward to the chapter content. See all 72 reviews.
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