filter() vs where() | Filter DataFrames | PySpark Tutorial #pysparktutorial #pyspark

PySpark Tutorial: filter() vs where() | Filter DataFrames Easily

In this PySpark tutorial, you'll learn the key differences between the filter() and where() functions used to filter DataFrames in PySpark. Both functions are commonly used in data engineering workflows to apply conditions and extract specific subsets of data, but when should you use one over the other? This video explains everything you need to know!

✅ What You’ll Learn in This Video:
The difference between filter() and where() in PySpark
How to filter DataFrames based on conditions
Using multiple conditions with AND, OR, and IN
Practical examples to apply filtering in PySpark DataFrames
Best practices for filtering large datasets in big data processing
Real-world use cases and tips for Data Engineers and Data Scientists

🛠️ Technologies Used:

PySpark
Apache Spark
Databricks (optional)

🎯 Perfect For:

Data Engineers
Data Scientists
Big Data Professionals

Beginners learning PySpark
#PySpark #filter #where #PySparkTutorial #DataEngineering #BigData #ApacheSpark #Databricks #DataFrames #PySparkForBeginners

link to the script used in this video
www.techbrothersit.com/2025/03/pyspark-tutorial-fi…