PySpark Developer for Big Data Analysis - Hands on Python

Online Course

Udemy
PySpark Developer for Big Data Analysis – Hands on Python

What is the course about?

PySpark Developer for Big Data Analysis – Hands on Python
The course PySpark Developer for Big Data Analysis – Hands on Python 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.

Learn Building data-intensive applications using PySpark

Course description
  • PySpark Developer for Big Data Analysis – Hands on Python
  • Build and interact with Spark DataFrames using Spark SQL
  • Code in Python against Spark. Transformation, Actions and Spark Monitoring
  • Learn about Apache Spark and the Spark architecture
  • This course starting point to learn about in memory big data analysis tool Apache Spark.
  • Create and explore various APIs to work with Spark DataFrames.
  • A PC with Internet Access
  • Experience with Programming
  • understanding of Python is an advantage
  • 5.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • SkillTech Academy India

Prerequisites & Facts

PySpark Developer for Big Data Analysis – Hands on Python

Course Topic

Development, Programming Languages, PySpark

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

PySpark Developer for Big Data Analysis – Hands on Python

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
PySpark Developer for Big Data Analysis – Hands on Python
provided by Udemy

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School: Udemy
Topic: Development, Programming Languages, PySpark