Spark : Big Data Cluster Computing in Production /

Spark"!Big Data Cluster Computing in Production; About the Authors; About the Technical Editors; Credits; Acknowledgments; Contents at a glance; Contents; Introduction; Chapter 1 Finishing Your Spark Job; Installation of the Necessary Components; Native Installation Using a Spark Standalone Clu...

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Bibliographic Details
Main Authors: Ganelin, Ilya, author, Orhian, Ema, author, Sasaki, Kai, author, York, Brennon, author
Format:
Language:eng
Published: Indianapolis, IN : John Wiley and Sons, 2016
Subjects:
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author Ganelin, Ilya, author
Orhian, Ema, author
Sasaki, Kai, author
York, Brennon, author
author_facet Ganelin, Ilya, author
Orhian, Ema, author
Sasaki, Kai, author
York, Brennon, author
author_sort Ganelin, Ilya, author
collection OCEAN
description Spark"!Big Data Cluster Computing in Production; About the Authors; About the Technical Editors; Credits; Acknowledgments; Contents at a glance; Contents; Introduction; Chapter 1 Finishing Your Spark Job; Installation of the Necessary Components; Native Installation Using a Spark Standalone Cluster; The History of Distributed Computing That Led to Spark; Enter the Cloud; Understanding Resource Management; Using Various Formats for Storage; Text Files; Sequence Files; Avro Files; Parquet Files; Making Sense of Monitoring and Instrumentation; Spark UI; Spark Standalone UI; Metrics REST API
first_indexed 2024-03-05T15:28:50Z
format
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institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T15:28:50Z
publishDate 2016
publisher Indianapolis, IN : John Wiley and Sons,
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spelling KOHA-OAI-TEST:5392812020-12-19T17:20:21ZSpark : Big Data Cluster Computing in Production / Ganelin, Ilya, author Orhian, Ema, author Sasaki, Kai, author York, Brennon, author Indianapolis, IN : John Wiley and Sons,♭20162016engSpark"!Big Data Cluster Computing in Production; About the Authors; About the Technical Editors; Credits; Acknowledgments; Contents at a glance; Contents; Introduction; Chapter 1 Finishing Your Spark Job; Installation of the Necessary Components; Native Installation Using a Spark Standalone Cluster; The History of Distributed Computing That Led to Spark; Enter the Cloud; Understanding Resource Management; Using Various Formats for Storage; Text Files; Sequence Files; Avro Files; Parquet Files; Making Sense of Monitoring and Instrumentation; Spark UI; Spark Standalone UI; Metrics REST APIPSZJBLBig data URN:ISBN:9781119254010
spellingShingle Big data
Ganelin, Ilya, author
Orhian, Ema, author
Sasaki, Kai, author
York, Brennon, author
Spark : Big Data Cluster Computing in Production /
title Spark : Big Data Cluster Computing in Production /
title_full Spark : Big Data Cluster Computing in Production /
title_fullStr Spark : Big Data Cluster Computing in Production /
title_full_unstemmed Spark : Big Data Cluster Computing in Production /
title_short Spark : Big Data Cluster Computing in Production /
title_sort spark big data cluster computing in production
topic Big data
work_keys_str_mv AT ganelinilyaauthor sparkbigdataclustercomputinginproduction
AT orhianemaauthor sparkbigdataclustercomputinginproduction
AT sasakikaiauthor sparkbigdataclustercomputinginproduction
AT yorkbrennonauthor sparkbigdataclustercomputinginproduction