| 000 | 01784cam a2200373 i 4500 | ||
|---|---|---|---|
| 001 | 18684384 | ||
| 003 | IIITD | ||
| 005 | 20220225020003.0 | ||
| 008 | 150702s2015 cc a 001 0 eng c | ||
| 010 | _a 2015304861 | ||
| 015 |
_aGBB349884 _2bnb |
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| 016 | 7 |
_a016416144 _2Uk |
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| 020 | _a9789351109945 | ||
| 035 | _a(OCoLC)ocn844872440 | ||
| 040 |
_aUKMGB _beng _cUKMGB _dBTCTA _dYDXCP _dOCLCO _dOCLCQ _erda _dSINLB _dCOD _dCDX _dILC _dDLC |
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| 042 | _apcc | ||
| 050 | 0 | 0 |
_aQA76.9.D343 _bK363 2015 |
| 082 | 0 | 0 |
_a006.312 _223 _bKAR-L |
| 100 | 1 | _aKarau, Holden | |
| 245 | 1 | 0 |
_aLearning Spark _cHolden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia. |
| 260 |
_aNew Delhi : _bSPD, _c2015. |
||
| 300 |
_axvi, 254 p. : _bill. ; _c24 cm |
||
| 505 | 0 | _aIntroduction 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 | _aThis 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 | _aSpark (Electronic resource : Apache Software Foundation) |
| 650 | 0 | _aBig data. | |
| 650 | 0 |
_aData mining _xComputer programs. |
|
| 700 | 1 | _aKonwinski, Andy | |
| 700 | 1 | _aWendell, Patrick, | |
| 700 | 1 | _aZaharia, Matei, | |
| 906 |
_a7 _bcbc _cpccadap _d2 _encip _f20 _gy-gencatlg |
||
| 942 |
_2ddc _cBK _08 |
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| 999 |
_c11706 _d11706 |
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