Spark RDD Transformations and Actions | PySpark Tutorial for Beginners
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========== VIDEO CONTENT 📚 ==========
Welcome to our PySpark tutorial series! In this video, we delve into the world of Spark RDD transformations and actions. Spark RDDs (Resilient Distributed Datasets) are the building blocks of distributed data processing in Apache Spark. Learn how to leverage the power of RDD transformations, such as `map()`, `filter()`, `flatMap()`, and `reduceByKey()`, to transform your data efficiently. Discover the magic of RDD actions like `collect()`, `count()`, `take()`, and `saveAsTextFile()`, which trigger computations and produce results or save data to external storage systems.
Follow along with practical examples and step-by-step explanations to master Spark RDD operations. Whether you're a beginner or an experienced Spark user, this tutorial will enhance your understanding of Spark RDDs and their functionalities.
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========== T I M E S T A M P ⏰ ==========
Throughout the course, you will learn:
00:00 - Intro
00:09 - Spark RDD
01:52 - Transformations and Actions
03:06 - How to create RDD?
04:19 - RDD Actions Demo
05:14 - RDD Transformations Demo
06:32 - Read/Write RDD from/to text file
========== L I N K S 🔗 ==========
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