PySpark Masters Guide to Reading CSV in Databricks
In this video, we will learn how to read a CSV file in Azure Databricks and how to create a table from a file using practical examples.
This tutorial is explained in Odia language, specially designed for learners who want to understand Azure Data Engineering and PySpark concepts clearly.
🔹 Topics Covered:
✅ How to upload a CSV file in Azure Databricks
✅ Reading CSV file using PySpark
✅ Understanding schema and data types
✅ Using header and delimiter options
✅ Creating a table from CSV file
✅ Saving data as a managed table
✅ Real-time data engineering use case
This video is very useful for:
Azure Data Engineer aspirants
PySpark beginners
Data Engineering learners
Interview preparation
Azure Databricks is widely used in modern data engineering projects along with:
Azure Data Factory
Delta Lake
SQL & Python
Big Data processing
By the end of this video, you will confidently load data from a CSV file and create tables inside Azure Databricks.
Stay tuned for more Azure Data Engineering tutorials in Odia 🚀