Taming big data with Apache Spark and Python--Hands on!

By: Contributor(s): Publisher: [Place of publication not identified] : Packt Publishing, 2016Description: 1 online resource (1 streaming video file (5 hr., 11 min., 46 sec.)) : digital, sound, colorContent type:
  • two-dimensional moving image
Media type:
  • computer
  • video
Carrier type:
  • online resource
Subject(s): Genre/Form: LOC classification:
  • QA76.9.D343
Online resources: Presenter, Frank Kane.Summary: "Apache Spark has emerged as the next big thing in the Big Data domain -- quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis. This course will be your companion to learn Apache Spark in a hands-on manner. Start with understanding how to set up Spark on a single system or on a cluster. From analyzing large data sets using Spark RDD, to developing and running effective Spark jobs quickly using Python, this course will teach you everything. Packed with over 15 interactive, fun-filled examples relevant to the real-world, the course will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease."--Resource description page.
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Presenter, Frank Kane.

"Apache Spark has emerged as the next big thing in the Big Data domain -- quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis. This course will be your companion to learn Apache Spark in a hands-on manner. Start with understanding how to set up Spark on a single system or on a cluster. From analyzing large data sets using Spark RDD, to developing and running effective Spark jobs quickly using Python, this course will teach you everything. Packed with over 15 interactive, fun-filled examples relevant to the real-world, the course will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease."--Resource description page.

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