Databricks for Data Engineering - PySpark, SQL and Delta Lake

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.4 GB
  • Uploaded Byfreecoursewb
  • Downloads104
  • Last checkedMay. 03rd '26
  • Date uploadedMay. 01st '26
  • Seeders 17
  • Leechers4

Infohash : 183D5D2329D078602D4E88B0E565E0387F570B3C

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

Files:

[ WebToolTip.com ] Databricks for Data Engineering - PySpark, SQL and Delta Lake
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1. Introduction.mp4 (45.1 MB)
    • 2. What is Databricks Complete Beginner Guide.mp4 (18.7 MB)
    • 3. Databricks Architecture Explained (Workspace, Clusters, DBFS).mp4 (32.9 MB)
    2 - Getting Started with Databricks
    • 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)
    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)
    • 9. Uploading Files to Databricks.mp4 (81.2 MB)
    • 9. sales_data.json (2.1 KB)
    • 9. sample_sales.csv (0.1 KB)
    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 (60.0 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 (1.0 KB)
    • 33. product silver table.txt (0.6 KB)
    • 33. sales silver table.txt (0.3 KB)
    • 33. verify silver tables.txt (0.2 KB)
    • 34. Creating Analytics Table.mp4 (41.0 MB)
    • 35. Final End-to-End Pipeline Demo.mp4 (16.3 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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