Using R for big data with Spark

• Verfasst von: Amunategui, Manuel [VerfasserIn]
• Titel: Using R for big data with Spark
• Titelzusatz: hands-on data analytics in the Cloud using Spark, AWS, SparkR, and more
• Verf.angabe: with Manuel Amunategui.
• Verlagsort: [Place of publication not identified]
• Verlag: O'Reilly
• E-Jahr: 2016
• Jahr: [2016]
• Umfang: 1 online resource (1 streaming video file (2 hr., 20 min.))
• Illustrationen: digital, sound, color
• Fussnoten: Title from title screen (viewed November 4, 2016). - Date of publication from resource description page
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: R (Computer program language)
• Sach-SW: SPARK (Computer program language)
• Sach-SW: Big data ; Computer programs
• Sach-SW: Electronic videos ; local
• K10plus-PPN: 1680200372
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m3608171908
• Lokale URL Inst.: Zum Volltext

Abstract

"Data analysts familiar with R will learn to leverage the power of Spark, distributed computing and cloud storage in this course that shows you how to use your R skills in a big data environment. You'll learn to create Spark clusters on the Amazon Web Services (AWS) platform; perform cluster based data modeling using Gaussian generalized linear models, binomial generalized linear models, Naive Bayes, and K-means modeling; access data from S3 Spark DataFrames and other formats like CSV, Json, and HDFS; and do cluster based data manipulation operations with tools like SparkR and SparkSQL. By course end, you'll be capable of working with massive data sets not possible on a single computer. This hands-on class requires each learner to set-up their own extremely low-cost, easily terminated AWS account."--Resource description page.