Udemy - Databricks for Data Engineers - Full Curriculum (Structured)

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  • TypeTutorials
  • LanguageEnglish
  • Total size3.8 GB
  • Uploaded Byfreecoursewb
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  • Last checkedMay. 03rd '26
  • Date uploadedMay. 02nd '26
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Infohash : D7FEBF8C7E6C7904676CB9F16AD51C0AF92D5254

Databricks for Data Engineers: Full Curriculum (Structured)

https://WebToolTip.com

Published 4/2026
Created by Data Science Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 43 Lectures ( 9h 38m ) | Size: 3.85 GB

Build real-world pipelines, optimize data, apply governance, and create dashboards with Databricks & BI tools

What you'll learn
✓ Build end-to-end data pipelines using modern tools like Databricks, Spark, and SQL
✓ Understand and implement ETL & ELT workflows for batch and streaming data processing
✓ Design scalable architectures using the Medallion (Bronze, Silver, Gold) framework
✓ Optimize data performance using partitioning, caching, query tuning, and cost optimization techniques
✓ Implement data governance and security with concepts like Unity Catalog, RBAC, and data lineage
✓ Create business-ready datasets (Gold tables) for analytics and reporting
✓ Run efficient queries using SQL Endpoints and improve query performance
✓ Connect data to Power BI/Tableau and build dashboard-ready data pipelines
✓ Apply real-world best practices used by professional data engineers
✓ Gain job-ready skills to work as a Data Engineer in modern data platforms

Requirements
● Basic understanding of computer fundamentals (files, folders, internet usage)
● Familiarity with basic SQL concepts is helpful but not required
● No prior experience in data engineering or Databricks needed
● A laptop/PC with internet access to follow along with hands-on examples

Files:

[ WebToolTip.com ] Udemy - Databricks for Data Engineers - Full Curriculum (Structured)
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction to Modern Data Engineering
    • 1. 1.1 What is Data Engineering.mp4 (136.8 MB)
    • 2. 1.2 Data Architecture Evolution.mp4 (137.3 MB)
    • 3. 1.3 Introduction to Databricks.mp4 (124.1 MB)
    • 4. 1.4 Real-World Data Pipeline Overview.mp4 (121.2 MB)
    10 - Performance Optimization
    • 34. 10.1 Partitioning Strategies.mp4 (77.7 MB)
    • 35. 10.2 Caching & Persistence.mp4 (75.3 MB)
    • 36. 10.3 Query Optimization.mp4 (93.2 MB)
    • 37. 10.4 Cost Optimization.mp4 (108.6 MB)
    11 - Data Governance & Security
    • 38. 11.1 Unity Catalog.mp4 (101.6 MB)
    • 39. 11.2 Access Control.mp4 (52.5 MB)
    • 40. 11.3 Data Lineage.mp4 (85.3 MB)
    12 - Data Serving & Analytics
    • 41. 12.1 Creating Gold Tables.mp4 (94.3 MB)
    • 42. 12.2 SQL Endpoints.mp4 (98.9 MB)
    • 43. 12.3 BI Integration.mp4 (83.3 MB)
    2 - Databricks Workspace & Setup
    • 5. 2.1 Workspace Navigation.mp4 (98.4 MB)
    • 6. 2.2 Cluster Management.mp4 (146.1 MB)
    • 7. 2.3 Notebooks & Languages.mp4 (116.0 MB)
    • 8. 2.4 Databricks File System (DBFS).mp4 (51.5 MB)
    3 - Apache Spark Fundamentals (Hands-on)
    • 10. 3.2 DataFrames & Transformations.mp4 (104.5 MB)
    • 11. 3.3 Actions & Lazy Evaluation.mp4 (48.6 MB)
    • 12. 3.4 Spark SQL.mp4 (86.1 MB)
    • 9. 3.1 Spark Architecture.mp4 (90.8 MB)
    4 - Delta Lake Essentials
    • 13. 4.1 Introduction to Delta Lake.mp4 (93.6 MB)
    • 14. 4.2 Schema Management.mp4 (98.0 MB)
    • 15. 4.3 Time Travel.mp4 (87.1 MB)
    • 16. 4.4 Data Modification.mp4 (81.0 MB)
    5 - Medallion Architecture (Core Design)
    • 17. 5.1 Bronze Layer (Raw Data).mp4 (101.0 MB)
    • 18. 5.2 Silver Layer (Clean Data).mp4 (98.7 MB)
    • 19. 5.3 Gold Layer (Business Data).mp4 (81.0 MB)
    • 20. 5.4 Data Quality Practices.mp4 (108.1 MB)
    6 - Batch Data Pipelines
    • 21. 6.1 ETL vs ELT Concepts.mp4 (90.7 MB)
    • 22. 6.2 Reading & Writing Data.mp4 (103.0 MB)
    • 23. 6.3 Incremental Processing.mp4 (52.1 MB)
    7 - Streaming Data Pipelines
    • 24. 7.1 Batch vs Streaming.mp4 (75.2 MB)
    • 25. 7.2 Structured Streaming.mp4 (95.7 MB)
    • 26. 7.3 Auto Loader.mp4 (46.2 MB)
    • 27. 7.4 Handling Late Data.mp4 (112.1 MB)
    8 - Advanced Data Transformations
    • 28. 8.1 Joins & Window Functions.mp4 (82.3 MB)
    • 29. 8.2 Data Deduplication.mp4 (83.7 MB)
    • 30. 8.3 Slowly Changing Dimensions.mp4 (65.9 MB)
    9 - Workflow Orchestration
    • 31. 9.1 Databricks Workflows.mp4 (97.5 MB)
    • 32. 9.2 Scheduling Pipelines.mp4 (74.8 MB)
    • 33. 9.3 Parameterization.mp4 (81.1 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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