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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6️⃣ PySpark Playlist:
🔗 • Pyspark Tutorial
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4️⃣ Python Playlist:
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🙏 Hope you enjoyed the video and learned something valuable!
📺 See you in the next one — until then, Bye-Bye 👋
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