Udemy - DP-750 - Azure Databricks Data Engineer Associate Course 2026

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.8 GB
  • Uploaded Byfreecoursewb
  • Downloads41
  • Last checkedJul. 03rd '26
  • Date uploadedJul. 02nd '26
  • Seeders 2
  • Leechers10

Infohash : 658AAE48A443CB4B87C769BAD42520815C5B34EF

DP-750: Azure Databricks Data Engineer Associate Course 2026

https://WebToolTip.com

Published 6/2026
Created by Cloud Guru Amit
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 111 Lectures ( 3h 29m ) | Size: 2.8 GB

Pass Azure Databricks Data Engineer Associate (DP-750) with 4 hours of beginner friendly videos with Hands-on Projects.

What you'll learn
⚡ Configure and optimize Azure Databricks compute resources, including serverless, shared, autoscaling, Photon, and permissions.
⚡ Create and manage Unity Catalog objects — catalogs, schemas, volumes, tables, views, and materialized views — with proper naming conventions.
⚡ Secure data with table-, column-, and row-level security, ABAC policies, lineage tracking, audit logging, and Delta Sharing strategies.
⚡ Process and transform data with partitioning, clustering, temporal tables, joins, pivots, aggregations, and schema enforcement.
⚡ Build and deploy pipelines with Lakeflow Jobs, notebooks, triggers, alerts, error handling, and automatic restarts.
⚡ Integrate with Azure Monitor for log streaming, alerts, and proactive workload optimization.

Requirements
❗ Basic knowledge of SQL and ability to write simple queries.
❗ Understanding of primary database objects such as tables, views, and schemas.
❗ No prior Databricks or AI experience required — course starts from beginner level.

Files:

[ WebToolTip.com ] Udemy - DP-750 - Azure Databricks Data Engineer Associate Course 2026
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Set Up and Configure an Azure Databricks Environment
    • 1. Job compute.mp4 (26.3 MB)
    • 10. Autoscaling.mp4 (32.6 MB)
    • 11. Termination.mp4 (20.5 MB)
    • 12. Performance Setting - CPU, Autoscaling and Termination Hands on.mp4 (55.3 MB)
    • 13. Pooling.mp4 (26.9 MB)
    • 14. Pooling Hands-on.mp4 (17.2 MB)
    • 15. Photon acceleration.mp4 (28.3 MB)
    • 16. Databricks runtime.mp4 (28.2 MB)
    • 17. Spark version.mp4 (25.9 MB)
    • 18. Feature Setting Photon Acceleration and Spark Version Hands-on.mp4 (38.0 MB)
    • 19. Installing libraries for compute resources.mp4 (25.3 MB)
    • 2. Serverless compute.mp4 (30.2 MB)
    • 20. Configuring permissions for compute resources.mp4 (30.5 MB)
    • 21. Configuring permissions for compute resources Hands-on.mp4 (12.4 MB)
    • 22. Catalogs.mp4 (23.4 MB)
    • 23. Schemas.mp4 (24.8 MB)
    • 24. Volumes.mp4 (30.0 MB)
    • 25. Unity Catalog Catalog, Schema and Volume Hands-on.mp4 (54.5 MB)
    • 26. Tables.mp4 (23.9 MB)
    • 27. Tables Hands-on.mp4 (23.1 MB)
    • 28. Views.mp4 (20.9 MB)
    • 29. Views Hands-on.mp4 (18.3 MB)
    • 3. Serverless compute Hands-on.mp4 (14.5 MB)
    • 30. Materialized views.mp4 (25.0 MB)
    • 31. Materialized views Hands-on.mp4 (15.2 MB)
    • 32. Managed vs External tables.mp4 (35.9 MB)
    • 33. Foreign catalogs.mp4 (26.6 MB)
    • 4. Warehouse compute.mp4 (26.3 MB)
    • 5. Classic compute.mp4 (26.4 MB)
    • 6. Shared compute.mp4 (16.1 MB)
    • 7. Shared compute Hands-on.mp4 (22.4 MB)
    • 8. CPU.mp4 (25.4 MB)
    • 9. Node count.mp4 (24.2 MB)
      • Hands on Files
      • 18. Unity Catalog Volume.docx (13.3 KB)
      • 19. Tables.docx (12.1 KB)
      • 20. Views.docx (11.7 KB)
      • 21. Materialized views.docx (11.4 KB)
      • Unity Catalog Volume Diagram.png (406.5 KB)
      • demo_script.sql (0.4 KB)
      • peopledata.csv (0.1 KB)
      Hands on
      • people.csv (0.4 KB)
      • python commands.docx (12.3 KB)
      2 - Secure and Govern Unity Catalog Objects
      • 34. Table level security.mp4 (26.3 MB)
      • 35. Table level security Hands-On.mp4 (55.5 MB)
      • 36. Column level security.mp4 (25.6 MB)
      • 37. Column level security Hands-On.mp4 (38.1 MB)
      • 38. Row level security.mp4 (26.8 MB)
      • 39. Row level security Hands-On.mp4 (28.2 MB)
      • 40. Service principals.mp4 (27.3 MB)
      • 41. Managed identities.mp4 (27.6 MB)
      • 42. Key Vault integration.mp4 (24.7 MB)
      • 43. Table definitions.mp4 (28.7 MB)
      • 44. Column definitions.mp4 (24.3 MB)
      • 45. Table definitions & Column definition Hands-On.mp4 (62.4 MB)
      • 46. ABAC with tags.mp4 (29.3 MB)
      • 47. ABAC with Tags Diagram.png (1.2 MB)
      • 47. ABAC with tags Hands-On.mp4 (38.4 MB)
      • 48. ABAC with policies.mp4 (26.7 MB)
      • 49. Lineage tracking.mp4 (26.0 MB)
      • 50. Lineage tracking Hands-On.mp4 (71.2 MB)
      • 51. Audit logging.mp4 (25.0 MB)
      • 52. Secure sharing strategies.mp4 (23.8 MB)
      • 53. Secure sharing strategies Hands-On.mp4 (27.4 MB)
        • Hands on Files
        • 24. Table level security.docx (12.7 KB)
        • 25. Column level security.docx (12.3 KB)
        • 26. Row level security.docx (12.3 KB)
        • 30. Table definitions 31. column definition.docx (13.2 KB)
        • 34. Lineage tracking.docx (12.7 KB)
        • Access Control Diagram.png (583.1 KB)
        • Lineage tracking Diagram.png (1,016.7 KB)
        • Table and column definition diagram.png (918.0 KB)
        3 - Prepare and Process Data
        • 54. Partitioning.mp4 (33.6 MB)
        • 55. Clustering.mp4 (32.9 MB)
        • 56. Clustering Hands on.mp4 (39.7 MB)
        • 57. Temporal tables.mp4 (26.0 MB)
        • 58. Temporal Table Hands on.mp4 (31.8 MB)
        • 59. Lakeflow Connect.mp4 (31.4 MB)
        • 60. Notebooks.mp4 (29.0 MB)
        • 61. Azure Data Factory.mp4 (30.1 MB)
        • 62. Azure Data Factory Hands on.mp4 (197.5 MB)
        • 63. Parquet.mp4 (27.7 MB)
        • 64. Delta.mp4 (27.7 MB)
        • 65. CSV.mp4 (25.4 MB)
        • 66. JSON.mp4 (27.8 MB)
        • 67. Iceberg.mp4 (28.7 MB)
        • 68. Spark Structured Streaming.mp4 (29.8 MB)
        • 69. Event Hubs.mp4 (28.9 MB)
        • 70. CDC feeds.mp4 (25.5 MB)
        • 71. Joins.mp4 (38.6 MB)
        • 72. Unions.mp4 (27.6 MB)
        • 73. Pivot Unpivot.mp4 (37.4 MB)
        • 74. Denormalization.mp4 (34.1 MB)
        • 75. Constraints.mp4 (25.7 MB)
        • 76. Validation checks.mp4 (27.2 MB)
        • 77. Schema enforcement.mp4 (27.0 MB)
        • 78. Pipeline expectations.mp4 (29.0 MB)
        • 79. Merge.mp4 (30.4 MB)
        • 80. Insert.mp4 (23.2 MB)
        • 81. Append.mp4 (23.2 MB)
          • Hands on Files
          • 38. Clustering.docx (12.0 KB)
          • 39. Temporal tables.docx (14.2 KB)
          • Architecture Diagram.png (206.4 KB)
          • Clustering Diagram.png (955.7 KB)
          • Company.csv (2.9 KB)
          • Mapping Data Flow Theory.png (86.5 KB)
          • Temporal Table Diagram.png (925.0 KB)
          4 - Deploy and Maintain Data Pipelines and Workloads
          • 100. Cluster consumption optimization.mp4 (5.0 MB)
          • 101. Repair restart of Lakeflow Jobs.mp4 (15.5 MB)
          • 102. Spark job tuning.mp4 (5.1 MB)
          • 103. DAG analysis.mp4 (5.6 MB)
          • 104. Spark UI.mp4 (5.7 MB)
          • 105. Query profiling.mp4 (11.6 MB)
          • 106. OPTIMIZE.mp4 (5.5 MB)
          • 107. VACUUM.mp4 (9.3 MB)
          • 108. Azure Monitor.mp4 (4.6

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