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| LEADER |
01815cam a2200337 i 4500 |
| 005 |
20160329144836.0 |
| 008 |
150702s2015 cc a 001 0 eng c |
| 020 |
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|a 9781449358624
|
| 020 |
|
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|a 1449358624
|
| 040 |
|
|
|a UKMGB
|b eng
|c UKMGB
|d BTCTA
|d YDXCP
|d OCLCO
|d OCLCQ
|e rda
|d SINLB
|d COD
|d CDX
|d ILC
|d HR-ZaFER
|
| 042 |
|
|
|a pcc
|
| 050 |
0 |
0 |
|a QA76.9.D343
|b K363 2015
|
| 082 |
0 |
0 |
|a 006.3/12
|2 23
|
| 100 |
1 |
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|a Karau, Holden,
|e author.
|9 35285
|
| 245 |
1 |
0 |
|a Learning Spark /
|c Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia.
|
| 250 |
|
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|a 1. ed.
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| 300 |
|
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|a xvi, 254 str. :
|b ilustr. ;
|c 24 cm
|
| 500 |
|
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|a Subtitle on cover: Lightning-fast data analysis.
|
| 500 |
|
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|a Includes index.
|
| 505 |
0 |
|
|a Introduction to data analysis with Spark -- Downloading Spark and getting started -- Programming with RDDs -- Working with key/value pairs -- Loading and saving your data -- Advanced Spark programming -- Running on a cluster -- Tuning and debugging Spark -- Spark SQL -- Spark streaming -- Machine learning with MLlib.
|
| 520 |
|
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|a This book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. You'll learn how to express parallel jobs with just a few lines of code, and cover applications from simple batch jobs to stream processing and machine learning.--
|
| 630 |
0 |
0 |
|a Spark (Electronic resource : Apache Software Foundation)
|9 35286
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| 650 |
|
0 |
|a Big data.
|9 35287
|
| 650 |
|
0 |
|a Data mining
|x Computer programs.
|9 35288
|
| 700 |
1 |
|
|a Konwinski, Andy,
|e author.
|9 35289
|
| 700 |
1 |
|
|a Wendell, Patrick,
|e author.
|9 35290
|
| 700 |
1 |
|
|a Zaharia, Matei,
|e author.
|9 35291
|
| 906 |
|
|
|a 7
|b cbc
|c pccadap
|d 2
|e ncip
|f 20
|g y-gencatlg
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| 942 |
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|2 udc
|c K
|
| 955 |
|
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|b rl09 2015-07-02 z-processor
|i rl09 2015-07-16 ; to Dewey
|
| 999 |
|
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|c 45710
|d 45710
|
