Create Pivot table in Pyspark Python 🐍 | Spark pivot function #databricks tutorial with example

🚀 In this video, we're diving into PySpark on Databricks community edition to explore how to create pivot tables for the input dataframe. In this particular example I'm using movie ratings from different countries! If you're working with large datasets and need to summarize and analyze your data, pivot tables are a powerful tool.

Pyspark transpose rows into columns

Pivot table in spark is a great way to analyze and view the data as it converts long dataframe into wide dataframe which is often more easy to understand and comprehensive.

We'll walk through a step-by-step example using popular movies like 'Inception,' 'Avatar,' and 'Titanic,' and show you how to pivot this data to compare ratings across countries like the USA, Canada, India, Germany, and France.

🎬 What You'll Learn:

1. How to set up a DataFrame in PySpark with sample movie rating data.
2. Step-by-step instructions on creating a pivot table using PySpark's powerful features.
3. Real-world applications of pivot tables for data analysis.

By the end of this tutorial, you'll have a solid understanding of how to pivot data in PySpark on Databricks Environment and apply these techniques to your own projects. Whether you're a data scientist, engineer, or just someone looking to level up your PySpark skills, this video is for you!

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📢 Have questions or want to see more? Drop a comment below tutorial. Your feedback is always appreciated!

#databricks #apachespark #pyspark #dataengineering