First PySpark Demo in Databricks Free Edition | Load CSV, DataFrame, Schema & Display
In this beginner-friendly Databricks tutorial, we create our first PySpark demo step by step using Databricks Free Edition.
You will learn how to create a workspace folder, create a Python notebook, download a public cars.csv file, inspect the file, load it into a Spark DataFrame, preview the data, check columns, review the schema, use schema inference, and define a schema explicitly for more reliable data pipelines.
Dataset used in this video:
https://raw.githubusercontent.com/arg...
New to Databricks? Watch the previous video first to create your free Databricks account:
• How to Create a FREE Databricks Account | ...
This demo is perfect for Data Engineers who want to start practicing Spark, PySpark, Databricks notebooks, DataFrames, schema inference, and explicit schema definitions.
Topics covered:
Create a Databricks workspace folder
Create a Python notebook
Download a CSV file from GitHub
Preview CSV data
Load data with Pandas and Spark
Use df.show() and display(df)
Check DataFrame columns
Inspect Spark schema
Use inferSchema=True
Define schema explicitly with StructType and StructField