PySpark Cookbook Over 60 recipes for implementing big data processing and analytics using Apache S

PySpark Cookbook Over 60 recipes for implementing big data processing and analytics using Apache S
     Get Bonus Downloads Here.url -


     Bonus Resources.txt -


     DS_Store -


     checkRequirements.sh -


     hosts.txt -


     installFromBinary.sh -


     installFromSource.sh -


     installLivy.sh -


     installOnRemote.sh -


     Abstracting Data with RDDs.html -


     Abstracting Data with RDDs.ipynb -


     3. Abstracting data with DataFrames.ipynb -


     README_DO_NOT_TOUCH_FILES.txt -


     db.lck -


     dbex.lck -


     README_DO_NOT_TOUCH_FILES.txt -


     log.ctrl -


     log1.dat -


     logmirror.ctrl -


     README_DO_NOT_TOUCH_FILES.txt -


     c10.dat -


     c101.dat -


     c111.dat -


     c121.dat -


     c130.dat -


     c141.dat -


     c150.dat -


     c161.dat -


     c171.dat -


     c180.dat -


     c191.dat -


     c1a1.dat -


     c1b1.dat -


     c1c0.dat -


     c1d1.dat -


     c1e0.dat -


     c1f1.dat -


     c20.dat -


     c200.dat -


     c211.dat -


     c221.dat -


     c230.dat -


     c241.dat -


     c251.dat -


     c260.dat -


     c271.dat -


     c281.dat -


     c290.dat -


     c2a1.dat -


     c2b1.dat -


     c2c1.dat -


     c2d0.dat -


     c2e1.dat -


     c2f0.dat -


     c300.dat -


     c31.dat -


     c311.dat -


     c321.dat -


     c331.dat -


     c340.dat -


     c351.dat -


     c361.dat -


     c371.dat -


     c380.dat -


     c391.dat -


     c3a1.dat -


     c3b1.dat -


     c3c0.dat -


     c3d1.dat -


     c3e1.dat -


     c3f1.dat -


     c400.dat -


     c41.dat -


     c411.dat -


     c421.dat -


     c430.dat -


     c441.dat -


     c451.dat -


     c461.dat -


     c470.dat -


     c481.dat -


     c490.dat -


     c4a1.dat -


     c4b0.dat -


     c4c1.dat -


     c4d1.dat -


     c4e1.dat -


     c4f0.dat -


     c501.dat -


     c51.dat -


     c510.dat -


     c521.dat -


     c530.dat -


     c541.dat -


     c550.dat -


     c561.dat -


     c570.dat -


     c581.dat -


     c590.dat -


     c5a1.dat -


     c5b0.dat -


     c5c1.dat -


     c5d0.dat -


     c5e1.dat -


     c5f0.dat -


     c60.dat -


     c601.dat -


     c610.dat -


     c621.dat -


     c630.dat -


     c641.dat -


     c650.dat -


     c661.dat -


     c670.dat -


     c681.dat -


     c690.dat -


     c6a1.dat -


     c6b0.dat -


     c6c1.dat -


     c6d0.dat -


     c6e1.dat -


     c6f0.dat -


     c701.dat -


     c71.dat -


     c711.dat -


     c721.dat -


     c731.dat -


     c741.dat -


     c751.dat -


     c761.dat -


     c771.dat -


     c781.dat -


     c791.dat -


     c7a1.dat -


     c7b1.dat -


     c7c1.dat -


     c7d1.dat -


     c7e1.dat -


     c7f1.dat -


     c801.dat -


     c81.dat -


     c811.dat -


     c821.dat -


     c831.dat -


     c840.dat -


     c851.dat -


     c860.dat -


     c871.dat -


     c880.dat -


     c891.dat -


     c8a0.dat -


     c8b1.dat -


     c8c1.dat -


     c8d1.dat -


     c8e1.dat -


     c8f1.dat -


     c90.dat -


     c901.dat -


     c911.dat -


     c920.dat -


     c931.dat -


     c940.dat -


     c951.dat -


     c960.dat -


     c971.dat -


     c981.dat -


     c990.dat -


     c9a1.dat -


     c9b1.dat -


     c9c0.dat -


     c9d1.dat -


     c9e0.dat -


     c9f1.dat -


     ca01.dat -


     ca1.dat -


     ca11.dat -


     ca21.dat -


     cb1.dat -


     cc0.dat -


     cd1.dat -


     ce1.dat -


     cf0.dat -


     service.properties -


     4.Preparing data for modeling.ipynb -


     5. Machine Learning with MLlib.ipynb -


     6. Machine Learning with ML module.ipynb -


     DS_Store -


     stateful_streaming_word_count.py -


     streaming_word_count.py -


     structured_streaming_word_count.py -


     GraphFrames - Graph Theory with PySpark.html -


     GraphFrames - Graph Theory with PySpark.ipynb -


     DS_Store -


     DS_Store -


     DataFrames_sample.csv -


     DataFrames_sample.json -


     census_income.csv -


     forest_coverage_type.csv -


     fourier_signal.csv -


     LICENSE -


     README.md -


     PySparkCookbook.epub -


     PySparkCookbook.pdf -

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Torrent Name	Added	Size	Seed	Leech	Health
PySpark Cookbook Over 60 recipes for implementing big data processing…	2024-07-07	102.8 MB	0	3

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