| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1. Introduction.mp4 | 45.1 MB | ||
| 2 - Getting Started with Databricks | |||
| 3 - Working with Data in Databricks | |||
| 10. Understanding DBFS.mp4 | 21.3 MB | ||
| 11. Reading CSV Files.mp4 | 52.1 MB | ||
| 12. Reading JSON Files.mp4 | 95.4 MB | ||
| 13. JSON array Explode.mp4 | 67.3 MB | ||
| 14. Writing Data Back to Storage.mp4 | 135.2 MB | ||
| 15. Creating Tables.mp4 | 66.4 MB | ||
| 4 - Databricks SQL for Data Engineering | |||
| 0. Data Transformation with SQL.mp4 | 59.4 MB | ||
| 16. Creating Tables with SQL.mp4 | 68.3 MB | ||
| 17. Filtering Data.mp4 | 40.4 MB | ||
| 18. Aggregations.mp4 | 60.2 MB | ||
| 19. Joins in Databricks SQL.mp4 | 72.9 MB | ||
| 20. Creating Views.mp4 | 25.4 MB | ||
| 5 - PySpark for Data Engineering | |||
| 0. Filtering Data.mp4 | 55.8 MB | ||
| 0. Introduction to PySpark DataFrames.mp4 | 60.6 MB | ||
| 0. Reading Data with PySpark.mp4 | 56.6 MB | ||
| 0. Selecting Columns in PySpark.mp4 | 74.8 MB | ||
| 21. Column Transformations.mp4 | 92.1 MB | ||
| 22. Handling Null Values.mp4 | 45.7 MB | ||
| 23. Aggregations in PySpark.mp4 | 50.8 MB | ||
| 24. Joins in PySpark.mp4 | 45.4 MB | ||
| 25. Writing Data.mp4 | 28.6 MB | ||
| 6 - Delta Lake Fundamentals | |||
| 26. What is Delta Lake.mp4 | 37.3 MB | ||
| 27. Delta vs Parquet.mp4 | 60 MB | ||
| 28. Updating Delta Tables.mp4 | 27.3 MB | ||
| 29. Merge Operations.mp4 | 39.1 MB | ||
| 30. Time Travel in Delta Lake.mp4 | 88.4 MB | ||
| 7 - Build a Real ETL Pipeline | |||
| 31. ETL Pipeline Architecture.mp4 | 22.4 MB | ||
| 31. customers.csv | 2.2 KB | ||
| 31. orders.csv | 1.9 KB | ||
| 31. products.csv | 2.3 KB | ||
| 31. sales.csv | 2.1 KB | ||
| 32. Creating Raw Layer.mp4 | 23.3 MB | ||
| 33. Data Cleaning Pipeline.mp4 | 341.7 MB | ||
| 33. Orders Silver table.txt | 1 KB | ||
| 33. product silver table.txt | 614.4 B | ||
| 33. sales silver table.txt | 307.2 B | ||
| 33. verify silver tables.txt | 204.8 B | ||
| 34. Creating Analytics Table.mp4 | 41 MB | ||
| 35. Final End-to-End Pipeline Demo.mp4 | 16.3 MB | ||
| 9. Uploading Files to Databricks.mp4 | 81.2 MB | ||
| 9. sales_data.json | 2.1 KB | ||
| 9. sample_sales.csv | 102.4 B | ||
| 4. Creating Databricks Community Edition Account.mp4 | 36.3 MB | ||
| 5. Overview of the Workspace.mp4 | 50.3 MB | ||
| 6. Creating Your First Cluster in Databricks.mp4 | 11.4 MB | ||
| 7. Understanding Databricks Notebooks.mp4 | 88.5 MB | ||
| 8. Running Your First PySpark Code.mp4 | 75.5 MB | ||
| 2. What is Databricks Complete Beginner Guide.mp4 | 18.7 MB | ||
| 3. Databricks Architecture Explained (Workspace, Clusters, DBFS).mp4 | 32.9 MB |
Databricks for Data Engineering: PySpark, SQL & Delta Lake
https://WebToolTip.com
Published 4/2026
Created by Rahul Kumar Sharma
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 40 Lectures ( 6h 24m ) | Size: 2.35 GB
Learn Databricks with End to End using PySpark, SQL & Delta Lake to build real ETL pipelines
What you'll learn
✓ Understand how Databricks is used in real-world data engineering
✓ Build ETL pipelines using PySpark and SQL in Databricks
✓ Work with large datasets using Spark DataFrames
✓ Perform data transformations, joins, and aggregations
✓ Use Delta Lake for reliable and scalable data pipelines
✓ Design end-to-end data engineering workflows
✓ Load, process, and analyze data using Databricks notebooks
✓ Gain hands-on experience by building a complete data pipeline project
✓ Build complete end-to-end ETL pipelines using Databricks
✓ Work with PySpark DataFrames for real-world data processing
✓ Use SQL in Databricks for filtering, joins, and aggregations
✓ Perform data transformations on large datasets efficiently
✓ Understand and use Delta Lake features like update, merge, and time travel
✓ Design scalable data engineering workflows
✓ Work with real-world datasets inside Databricks notebooks
Requirements
● Willingness to learn and practice hands-on data engineering concepts
● Basic understanding of SQL is helpful but not required
● No prior experience with Databricks is needed
● Basic programming knowledge is a plus (not mandatory)
● A laptop or computer with internet access
| torrent name | size | uploader | age | seed | leech |
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Udemy - Databricks for Data Engineers - Full Curriculum (Structured) Posted by
freecoursewb in Other
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3.8 GB | freecoursewb | 1 month | 9 | 1 |
| 3 GB | freecoursewb | 1 month | 20 | 10 | |
| 5 GB | tutsnode | 2 years | 4 | 1 | |
| 4.5 GB | cybil18 | 3 years | 3 | 0 | |
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Udemy - Azure Databricks & Spark For Data Engineers (PySpark / SQL) [FCS] Posted by
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4.5 GB | fcs0310 | 3 years | 7 | 3 |
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