SparkContext vs SparkSession | PySpark Tutorial for Beginners

SparkContext vs SparkSession | PySpark Tutorial for Beginners

#SparkTutorial #PySparkTutorial #ApacheSpark

========== VIDEO CONTENT 📚 ==========
In this video, we explore the differences between SparkContext and SparkSession in Apache Spark. SparkContext represents the connection to a Spark cluster and coordinates task execution, while SparkSession is a unified entry point for interacting with Spark, combining multiple functionalities. We discuss their purposes, functionality differences, usage patterns, and backward compatibility. SparkContext provides core programming and cluster interaction, while SparkSession introduces higher-level abstractions like DataFrames and Datasets. We recommend using SparkSession as the entry point for Spark applications since it simplifies interaction and offers better integration with the latest features. Watch this video to understand the distinctions between SparkContext and SparkSession, and how to use them effectively in your Spark projects. Subscribe for more Spark tutorials!

========== T I M E S T A M P ⏰ ==========
Throughout the course, you will learn:
00:00 - Intro of SparkContext and SparkSession
01:03 - Functionality Differences SparkContext vs SparkSession
01:45 - Usage Pattern SparkContext vs SparkSession
02:25 - Backward Compatibility SparkContext vs SparkSession
03:00 - Conclusion SparkContext vs SparkSession

========== L I N K S 🔗 ==========

========== Connect with me 👏 ==========

[ManojKumar-jhtw]

Who ever needs a daily video, leave a thumbs up here!! Eagerly waiting for the next video

[chineseculture]

I like the way you organize the video. I can go back and check every time I want and find the thing easily.

[kadulurimohansai]

should I need to learn spark context or Spark session, which is more recommended