PySpark Date & Timestamp Functions Explained | curdate(), timestamp_diff(), date_add() in Databricks

In this tutorial, we explore some of the most important PySpark Date and Timestamp functions using Azure Databricks. You will learn: ✔ How to convert string columns into proper DateType ✔ How to use curdate() and current_timestamp() ✔ How to calculate date differences using timestamp_diff() ✔ How to add or subtract days using date_add() ✔ Real-world examples using a patient dataset This tutorial is perfect for: 👉 Data Engineers 👉 PySpark Beginners 👉 Azure Databricks Learners 👉 Anyone working with date/time-based data processing 📌 Code covered in this video: curdate() current_timestamp() timestamp_diff() date_add() to_date() If you found this helpful, please LIKE, SHARE, and SUBSCRIBE for more Databricks & PySpark tutorials! resource page - https://github.com/dataworldsolution/DatabricksTutorial/blob/main/Date%20%26%20Time%20Functions.ipynb #PySpark #Databricks #AzureDatabricks #PySparkTutorial #DataEngineering #BigData #Spark #SparkDataFrame #PySparkFunctions #DateFunctions #TimestampFunctions #DataEngineer #LearnPySpark