Real Time Streaming using Apache Spark Streaming

Online Course

Udemy
Real Time Streaming using Apache Spark Streaming

What is the course about?

Real Time Streaming using Apache Spark Streaming
The course Real Time Streaming using Apache Spark Streaming 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.

Analyze data in real-time using the Apache Spark Streaming API

Course description
  • Real Time Streaming using Apache Spark Streaming
  • Implement stream processing using Apache Spark Streaming
  • Consume events from the source (for instance, Kafka), apply logic on it, and send it to a data sink.
  • Understand how to deduplicate events when you have a system that ensures at-least-once deliver.
  • Learn to tackle common stream processing problems.
  • Create a job to analyze data in real time using the Apache Spark Streaming API.
  • A basic understanding and functional knowledge of Apache Spark, stream processing, and big data are required.
  • 1 hour on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Packt Publishing

Prerequisites & Facts

Real Time Streaming using Apache Spark Streaming

Course Topic

Apache Spark, Data Science, Development

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

Real Time Streaming using Apache Spark Streaming

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
Real Time Streaming using Apache Spark Streaming
provided by Udemy

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School: Udemy
Topic: Apache Spark, Data Science, Development