13. Create DataFrame from JSON & Parquet in Databricks | PySpark

Описание: #️⃣ #databricks #DataEngineering #AzureDataFactory

GITHUB DATASET -https://github.com/manish040596/datab...

Learn how to create and work with PySpark DataFrames from JSON and Parquet files inside Databricks — perfect for data engineers and analysts who want hands-on, practical skills. This short tutorial shows simple, no-fluff steps to read, inspect, and transform data using Databricks notebooks (works in Community/Free and Azure Databricks).

What you’ll learn

How to read JSON and Parquet into Spark DataFrames.

Basic schema inspection and show() / printSchema() checks.

Lightweight cleaning: casting, null handling and simple derived columns.

Writing cleaned DataFrames back to Parquet / Delta (save/load).

Quick tips for working in Databricks (DBFS/FileStore paths, notebook workflow).

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