12. Create DataFrame in PySpark | Databricks Tutorial

📊 Learn how to create a DataFrame in PySpark step by step!
In this Databricks tutorial, we cover multiple ways to create PySpark DataFrames — a fundamental concept for every Data Engineer and Big Data developer.

dataset - https://github.com/manish040596/datab...

✅ What You'll Learn in this Video:

What is a PySpark DataFrame?

Creating DataFrame from a list/collection

Creating DataFrame using Row & StructType schema

Creating DataFrame from CSV/JSON/Parquet files

How DataFrames are stored in Databricks Lakehouse

Real-world use cases in ETL & Data Engineering pipelines

🚀 By the end of this video, you’ll be able to confidently create DataFrames in PySpark and use them in your Databricks projects.

👨‍💻 Perfect for:

Data Engineers

PySpark Beginners

Azure Databricks Learners

Anyone preparing for Data Engineer Interviews

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📽️ Chapters
⏱️ 0:00 - Introduction

📚 Playlists You’ll Love:

1️⃣ AWS Data Engineer:
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2️⃣ Azure Data Engineer Playlist:
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6️⃣ PySpark Playlist:
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5️⃣ Azure Data Factory Playlist:
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7️⃣ Azure Data Engineer Projects:
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8️⃣ Data Engineer Interview Prep:
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