| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction to Modern Data Engineering | |||
| 1. 1.1 What is Data Engineering.mp4 | 136.8 MB | ||
| 10 - Performance Optimization | |||
| 11 - Data Governance & Security | |||
| 12 - Data Serving & Analytics | |||
| 2 - Databricks Workspace & Setup | |||
| 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 | ||
| 4 - Delta Lake Essentials | |||
| 13. 4.1 Introduction to Delta Lake.mp4 | 93.6 MB | ||
| 14. 4.2 Schema Management.mp4 | 98 MB | ||
| 15. 4.3 Time Travel.mp4 | 87.1 MB | ||
| 16. 4.4 Data Modification.mp4 | 81 MB | ||
| 5 - Medallion Architecture (Core Design) | |||
| 17. 5.1 Bronze Layer (Raw Data).mp4 | 101 MB | ||
| 18. 5.2 Silver Layer (Clean Data).mp4 | 98.7 MB | ||
| 19. 5.3 Gold Layer (Business Data).mp4 | 81 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 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 | ||
| 9. 3.1 Spark Architecture.mp4 | 90.8 MB | ||
| 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 MB | ||
| 8. 2.4 Databricks File System (DBFS).mp4 | 51.5 MB | ||
| 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 | ||
| 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 | ||
| 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 | ||
| 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 |
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
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| 287 MB | freecoursewb | 1 month | 4 | 1 | |
| 3 GB | freecoursewb | 1 month | 20 | 10 | |
| 483.2 MB | freecoursewb | 2 months | 9 | 1 | |
| 303 MB | freecoursewb | 2 months | 10 | 2 | |
| 3.2 GB | xHOBBiTx | 2 months | 23 | 3 |
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