Apache Spark Streaming Simplified: 2-in-1

Online Course

Udemy
Apache Spark Streaming Simplified: 2-in-1

What is the course about?

Apache Spark Streaming Simplified: 2-in-1
The course Apache Spark Streaming Simplified: 2-in-1 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.

Leverage the power of Apache Spark to perform real-time data processing and analytics

Course description
  • Apache Spark Streaming Simplified: 2-in-1
  • Query your structured data using Spark SQL and work with the DataSets API
  • Analyze and process graph structures using Spark’s GraphX module
  • Train machine learning models with streaming data, and use them for making real-time predictions
  • Implement high-velocity streaming and data processing use cases while working with streaming API
  • Dive into MLlib– the machine learning functional library in Spark with highly scalable algorithm
  • Understanding of the fundamentals of Spark programming is required.
  • 5 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Packt Publishing

Prerequisites & Facts

Apache Spark Streaming Simplified: 2-in-1

Course Topic

Business, Data Analysis, Data Analytics

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

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

Degree

Certificate

Degree & Cost

Apache Spark Streaming Simplified: 2-in-1

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.
Udemy
Apache Spark Streaming Simplified: 2-in-1
provided by Udemy

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School: Udemy
Topic: Business, Data Analysis, Data Analytics