Description
Spark and Python for Big Data with PySpark One of the training courses at Udemy.com is that you'll learn how to use Spark with Python in this tutorial. Specifically, it teaches you Streaming, Machine Learning, Spark 2.0, PySpark and working on Big Data with both Python and Spark.
In period Spark and Python for Big Data with PySpark This course teaches the basics through Python and continues to learn how to use Spark DataFrames with the latest Spark 2.0 syntax. Also, the latest Spark technologies, such as Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees We cover! After completing this course, you can easily put Spark and PySpark in your resume!
Topics Spark and Python for Big Data with PySpark:
- Setting up Python with Spark
- Local VirtualBox Set-up
- AWS EC2 PySpark Set-up
- Databricks Setup
- AWS EMR Cluster Setup
- Python Crash Course
- Spark DataFrame Basics
- Spark DataFrame Project Exercise
- Introduction to Machine Learning with MLlib
Download Link
Download Link The file size is 1.28 GB
| Download Link | Size |
|---|---|
| Download Part 1 | 476.84 MB |
| Download Part 2 | 476.84 MB |
| Download Part 3 | 352.43 MB |
