Apache Spark: Tips, Tricks, & Techniques

Online Course

Udemy
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Apache Spark: Tips, Tricks, & Techniques
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Apache Spark: Tips, Tricks, & Techniques
The course Apache Spark: Tips, Tricks, & Techniques is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs

Course description
  • Apache Spark: Tips, Tricks, & Techniques
  • Compose Spark jobs from actions and transformations
  • Create highly concurrent Spark programs by leveraging immutability
  • Ways to avoid the most expensive operation in the Spark API—Shuffle
  • How to save data for further processing by picking the proper data format saved by Spark
  • Parallelize keyed data; learn of how to use Spark’s Key/Value API
  • Knolodge of Apache Spark is benifited.
  • 2.5 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Packt Publishing
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Prerequisites & Facts

Apache Spark: Tips, Tricks, & Techniques

Course Topic

Amazon FBA, Finance & Accounting, Money Management Tools

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Apache Spark: Tips, Tricks, & Techniques

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
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Apache Spark: Tips, Tricks, & Techniques
provided by Udemy
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School: Udemy
Topic: Apache Spark, Development, Programming Languages

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