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 #PySpark, #Databricks, #ApacheSpark, #DataEngineering, #BigData, #SparkTutorial, #PySparkTutorial, #DataEngineer, #NullHandling, #techeducation