The description
Taming Big Data with Apache Spark and Python is the name of the software engineering and development video training suite. In fact, in this video tutorial, you will learn how to set up Big Data with Python and Apache Spark programming languages. The course that awaits you fully improves your skills. This means that you will become a data controller by completing more than 15 real data analysis projects. This course has provided you with the necessary materials and principles.
This course is also suitable for beginners in data science. Students will receive step-by-step instructions in this course. This means that you will start with simple examples and basic concepts in this course and in the initial sessions, and then become familiar with the concepts. Upon completion of the course, you will be able to run code capable of analyzing gigabyte information in the cloud. It should also be noted that this course is not recommended for people without prior programming experience.
Courses taught in this course:
- Learn how to solve big problems with data analysis
- Learn how to use DataFrames and Structured Streaming
- Learn how to install and run Apache Spark on your PC
- Learn more about Spark SQL and discover how it works and its applications
- Learn about the GraphX library and learn how to troubleshoot it
- And…
Getting to grips with Big Data course specifications with Apache Spark and Python
- English language
- Duration: 6h 45m
- Number of courses: 63
- Instructor: Sundog Education by Frank Kane, Frank Kane
- File format: mp4
Taming Big Data Course Headlines with Apache Spark and Python
Prerequisites for Taming Big Data with Apache Spark and Python
- Access to a personal computer. This course uses Windows, but the sample code will also work on Linux.
- Prior programming or scripting experience. Python experience will help you a lot, but you can pick it up as you go.
Pictures
sample movie
Installation guide
View with your favorite player after ripping.
english subtitle
Quality: 720p
Changes:
Version 2020/12 compared to 2019/5 at least 17 lessons, and about 1.5 hours increased.
Download link
File password(s): ngaur.com
Cut
3.29 GB