[PDF.92or] 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.ni59] 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
| #22829 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||41 of 43 people found the following review helpful.| Prose is well-written, but style is an impediment to learning. Should be called "Reviewing Spark," not "Learning Spark"|By Silverstein|The textual components are well-written. However, the book tends to gloss over examples, providing the same, or similar, snippets to what's on the web site instead of providing full, working examples. This was a poor choice for a "learning"|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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