Search Results for - Narrowed by: COMPUTERS -- Data Processing. - Spark (Electronic resource : Apache Software Foundation) SirsiDynix Enterprise https://catalog.iyte.edu.tr/client/en_US/default/default/qf$003dSUBJECT$002509Subject$002509COMPUTERS$002b--$002bData$002bProcessing.$002509COMPUTERS$002b--$002bData$002bProcessing.$0026qf$003dSUBJECT$002509Subject$002509Spark$002b$002528Electronic$002bresource$002b$00253A$002bApache$002bSoftware$002bFoundation$002529$002509Spark$002b$002528Electronic$002bresource$002b$00253A$002bApache$002bSoftware$002bFoundation$002529$0026ps$003d300? 2024-06-07T04:59:28Z Spark : the definitive guide : big data processing made simple ent://SD_ILS/0/SD_ILS:2313318 2024-06-07T04:59:28Z 2024-06-07T04:59:28Z by&#160;Chambers, Bill (William Andrew), author.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9781491912201/?ar">https://go.oreilly.com/library-access/library/view/-/9781491912201/?ar</a> <a href="https://learning.oreilly.com/library/view/~/9781491912201/?ar">https://learning.oreilly.com/library/view/~/9781491912201/?ar</a> <a href="https://learning.oreilly.com/library/view/~/9781491912201">https://learning.oreilly.com/library/view/~/9781491912201</a><br/>Format:&#160;Electronic Resources<br/> Next-generation big data : a practical guide to Apache Kudu, Impala, and Spark ent://SD_ILS/0/SD_ILS:2316906 2024-06-07T04:59:28Z 2024-06-07T04:59:28Z by&#160;Quinto, Butch, author.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9781484231470/?ar">https://go.oreilly.com/library-access/library/view/-/9781484231470/?ar</a> <a href="https://learning.oreilly.com/library/view/~/9781484231470/?ar">https://learning.oreilly.com/library/view/~/9781484231470/?ar</a><br/>Format:&#160;Electronic Resources<br/> Mastering Spark for data science : master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products ent://SD_ILS/0/SD_ILS:2313092 2024-06-07T04:59:28Z 2024-06-07T04:59:28Z by&#160;Morgan, Andrew, author.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9781785882142/?ar">https://go.oreilly.com/library-access/library/view/-/9781785882142/?ar</a> <a href="https://learning.oreilly.com/library/view/~/9781785882142/?ar">https://learning.oreilly.com/library/view/~/9781785882142/?ar</a><br/>Format:&#160;Electronic Resources<br/> Apache Spark 2.x cookbook : Cloud-ready recipes to do analytics and data science on Apache Spark ent://SD_ILS/0/SD_ILS:2313598 2024-06-07T04:59:28Z 2024-06-07T04:59:28Z by&#160;Yadav, Rishi, author.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9781787127265/?ar">https://go.oreilly.com/library-access/library/view/-/9781787127265/?ar</a> <a href="https://learning.oreilly.com/library/view/~/9781787127265/?ar">https://learning.oreilly.com/library/view/~/9781787127265/?ar</a> <a 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ent://SD_ILS/0/SD_ILS:2314192 2024-06-07T04:59:28Z 2024-06-07T04:59:28Z by&#160;Tellez, Alex, author.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9781785283451/?ar">https://go.oreilly.com/library-access/library/view/-/9781785283451/?ar</a> <a href="https://learning.oreilly.com/library/view/~/9781785283451/?ar">https://learning.oreilly.com/library/view/~/9781785283451/?ar</a> <a href="https://learning.oreilly.com/library/view/~/9781785283451">https://learning.oreilly.com/library/view/~/9781785283451</a><br/>Format:&#160;Electronic Resources<br/> Practical data science with Hadoop and Spark : designing and building effective analytics at scale ent://SD_ILS/0/SD_ILS:2312120 2024-06-07T04:59:28Z 2024-06-07T04:59:28Z by&#160;Medelevitch, Ofer, author.<br/><a href="https://go.oreilly.com/library-access/library/view/-/9780134029733/?ar">https://go.oreilly.com/library-access/library/view/-/9780134029733/?ar</a> <a href="https://learning.oreilly.com/library/view/~/9780134029733/?ar">https://learning.oreilly.com/library/view/~/9780134029733/?ar</a><br/>Format:&#160;Electronic Resources<br/> Spark cookbook : over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLib, and GraphX libraries ent://SD_ILS/0/SD_ILS:2308087 2024-06-07T04:59:28Z 2024-06-07T04:59:28Z by&#160;Yadav, Rishi, author.<br/><a href="https://learning.oreilly.com/library/view/~/9781783987061">https://learning.oreilly.com/library/view/~/9781783987061</a> <a href="https://learning.oreilly.com/library/view/~/9781783987061/?ar">https://learning.oreilly.com/library/view/~/9781783987061/?ar</a> <a href="https://go.oreilly.com/library-access/library/view/-/9781783987061/?ar">https://go.oreilly.com/library-access/library/view/-/9781783987061/?ar</a><br/>Format:&#160;Electronic Resources<br/>