Apache Spark 3 - Spark Programming in Python for Beginners
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Udemy Coupon Code for Apache Spark 3 – Spark Programming in Python for Beginners Course. Data Engineering using PySpark
Created by Prashant Kumar Pandey, Learning Journal | 14 hours on-demand video course
Apache Spark Course Overview
Apache Spark 3 – Spark Programming in Python for Beginners
This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken enough care to explain Spark Architecture and fundamental concepts to help you come up to speed and grasp the content of this course. I am creating Apache Spark 3 – Spark Programming in Python for Beginners course to help you understand the Spark programming and apply that knowledge to build data engineering solutions.
This Apache Spark 3 – Spark Programming in Python for Beginners course is example-driven and follows a working session like approach. We will be taking a live coding approach and explain all the needed concepts along the way. This Course is using the Apache Spark 3.x. I have tested all the source code and examples used in this Course on Apache Spark 3.0.0 open-source distribution.
What you’ll learn
- Apache Spark Foundation and Spark Architecture
- Data Engineering and Data Processing in Spark
- Working with Data Sources and Sinks
- Working with Data Frames and Spark SQL
- Using PyCharm IDE for Spark Development and Debugging
- Unit Testing, Managing Application Logs and Cluster Deployment
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Who this course is for
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- Programmers and developers who are aspiring to grow and learn Data Engineering using Apache Spark
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Taught by Prashant Kumar Pandey