[PDF.23mo] Learning Spark: Lightning-Fast Big Data Analysis
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Learning Spark: Lightning-Fast Big Data Analysis
Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia
[PDF.hn96] Learning Spark: Lightning-Fast Big Data Analysis
Learning Spark: Lightning-Fast Big Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia epub Learning Spark: Lightning-Fast Big Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia pdf download Learning Spark: Lightning-Fast Big Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia pdf file Learning Spark: Lightning-Fast Big Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia audiobook Learning Spark: Lightning-Fast Big Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia book review Learning Spark: Lightning-Fast Big Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia summary
| #17329 in Books | imusti | 2015-02-27 | 2015-02-17 | Original language:English | PDF # 1 | 9.19 x.63 x7.00l,.0 | File type: PDF | 276 pages | O'Reilly Media||30 of 31 people found the following review helpful.| Start here: Excellent reference for Spark|By Brian Castelli|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|About the Author|
|Holden Karau is transgender Canadian, and anactive open source contributor. When not in San Francisco working as asoftware development engineer at IBM's Spark Technology Center, Holdentalks internationally on Spark and holds office hours a
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates.
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