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Mastering Spark for Data Science Andrew Morgan Antoine ~ Mastering Spark for Data Science Andrew Morgan Antoine Amend David George Matthew Hallett on FREE shipping on qualifying offers Master the techniques and sophisticated analytics used to construct Sparkbased solutions that scale to deliver productiongrade data science products About This Book Develop and apply advanced
Mastering Spark for Data Science Packt ~ Spark has emerged as the big data platform of choice for data scientists due to its speed scalability and easytouse APIs This book deep dives into using Spark to deliver productiongrade data science solutions
Mastering Spark for Data Science Book OReilly Media ~ Get Mastering Spark for Data Science now with O’Reilly online learning O’Reilly members experience live online training plus books videos and digital content from 200 publishers Start your free trial Mastering Spark for Data Science
Mastering Spark for Data Science – CoderProg ~ Master the techniques and sophisticated analytics used to construct Sparkbased solutions that scale to deliver productiongrade data science products Data science seeks to transform the world using data and this is typically achieved through disrupting and changing real processes in real industries In order to operate at this level you need
Mastering Spark for Data Science – ScanLibs ~ Master the techniques and sophisticated analytics used to construct Sparkbased solutions that scale to deliver productiongrade data science products Data science seeks to transform the world using data and this is typically achieved through disrupting and changing real processes in real industries
Mastering Spark for Data Science ~ Mastering Spark for Data Science Master the techniques and sophisticated analytics used to construct Sparkbased solutions that scale to deliver productiongrade data science products Master the techniques and sophisticated analytics used to construct Sparkbased solutions that scale to deliver productiongrade data science products
GitHub lamastexMasteringSparkforDataScience ~ Mastering Spark for Data Science published by Packt This is the code repository for Mastering Spark for Data Science published by Packt It contains all the supporting project files necessary to work through the book from start to finish
GitHub PacktPublishingMasteringSparkforDataScience ~ Mastering Spark for Data Science published by Packt This is the code repository for Mastering Spark for Data Science published by Packt It contains all the supporting project files necessary to work through the book from start to finish
Mastering Spark Data Science on Azure WintellectNOW ~ Mastering Spark Data Science on Azure Apache Spark is a fast inmemory dataprocessing engine with elegant and expressive development APIs that enable data scientists to execute streaming workloads build sophisticated machinelearning models and perform other tasks endemic to extracting information from large datasets
Spark and Data Science What is Spark ~ Inmemory data manipulation is considerably faster and that is what Spark leverages to gain an advantage Instead of working with linear disk operations Spark implements a feature called “resilient distributed datasets” or RDDs
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