PySpark Coalesce Function Explained | Handle NULL Values in Databricks | Real World Example

In this video, we learn how to use the PySpark coalesce() function in Databricks with a real-world e-commerce dataset.

You will understand:

• How to replace NULL values using coalesce()
• How to implement fallback logic (phone → email → default value)
• How coalesce() works internally
• Difference between functions.coalesce() and DataFrame.coalesce()
• Interview-ready explanation

This tutorial is perfect for:
Data Engineers, Data Analysts, Spark Developers, and anyone preparing for PySpark interviews.

We use a practical production-style dataset so you can understand how NULL handling works in real-world projects.

If you are learning Databricks and PySpark for data engineering roles, this is a must-know concept.

Subscribe for more real-world PySpark and Databricks tutorials.

code used tutorial -
https://github.com/dataworldsolution/DatabricksTutorial/blob/main/Coalesce.ipynb

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Видео PySpark Coalesce Function Explained | Handle NULL Values in Databricks | Real World Example канала Data World Solution