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Microsoft fabric beginner to intermediate

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  • 1. Create a Microsoft Fabric Account.mp4
    10:35
  • 2. 02 What is Microsoft Fabric.mp4
    10:36
  • 3. What is OneLake.mp4
    09:26
  • 4. What is Microsoft Fabric Workspace.mp4
    04:52
  • 5. 05 What is lakehouse and create a lakehouse in fabric.mp4
    06:26
  • 6. 06 Load Files and Table in Lakehouse.mp4
    05:13
  • 7. 07 Load data in Lakehouse using DataFlowGen2.mp4
    09:16
  • 8. 08 SQL Analytics Endpoint in Fabric.mp4
    04:45
  • 9. 09 Build VISUAL QUERY in Fabric.mp4
    04:59
  • 10. 10 Build Shortcuts In Fabric.mp4
    04:42
  • 11. 11 Set up Data Pipeline in Fabric.mp4
    12:41
  • 12. 12 Set up DataFlowgen2 in Fabric.mp4
    10:52
  • 13. 13 Schedule and Monitor Data Pipelines in Fabric.mp4
    05:42
  • 14. 14 Data Warehouse in Fabric.mp4
    06:57
  • 15. 15 Work with Tables in Fabric warehouse.mp4
    06:54
  • 16. 16 Alter table with CTAS in Fabric Warehouse.mp4
    05:29
  • 17. 17 USE COPY INTO command in Fabric Warehouse.mp4
    07:09
  • 18. 18 Copy data into Fabric Warehouse using Data Pipeline.mp4
    06:02
  • 19. 19 Reference Warehouses in Fabric.mp4
    04:41
  • 20. 20 Clone tables in Fabric Warehouse.mp4
    08:31
  • 21. 21 Apache Spark in Fabric.mp4
    12:20
  • 22. 22 Work with Notebooks in Fabric.mp4
    13:05
  • 23. 23 Transform & Load the Data in Delta Table using Fabric Notebooks #fabric.mp4
    16:27
  • 24. 24 Use SQL & Temporary Views in Spark Notebooks.mp4
    07:49
  • 25. 25 Schedule and Integrate Spark Notebooks in pipelines.mp4
    04:48
  • 26. 26 REAL TIME INTELLIGENCE in Fabric.mp4
    08:14
  • 27. 27 Create Eventhouse in Fabric and load the Data.mp4
    06:24
  • 28. 28 Transform Data with KQL in Fabric.mp4
    05:13
  • 29. 29 Visualize data in Realtime Intelligence using KQL.mp4
    02:40
  • 30. 30 Ingest, Transform & load Realtime data in Fabric EventStream.mp4
    23:29
  • 31. 31 RETENTION POLICIES & EVENTSTREAM DELETION.mp4
    04:57
  • 32. 32 What is Data Activator in Fabric.mp4
    06:02
  • 33. 33 Implement Reflex, Trigger & Action using Event stream in Fabric.mp4
    14:36
  • Files.zip
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    Description

    Fabric!

    What You'll Learn?

    • Get an end to end understanding on Microsoft Fabric
    • Get Ready to work on any realtime project
    • Crack a job Interview
    • Get expertise in data domain

    Who is this for?

  • Data Engineers or Students
  • Professionals

    • What You Need to Know?

  • No Pre-requisite required

    • More details

    Description

    Master the art of data engineering with Microsoft Fabric and unleash the power of data like never before!

    Microsoft Fabric for Data Engineers course covers the fundamentals of using Microsoft Fabric for managing complex data engineering tasks efficiently.

    Key Highlights:

    • Understanding Microsoft Fabric architecture

    • Implementing data pipelines with Microsoft Fabric

    What you will learn:

    • Microsoft Fabric Architecture
      Explore the architecture of Microsoft Fabric and its components.

    • End-to-End Fabric Implementation for Data engineers
      Learn how to design and implement data pipelines using Microsoft Fabric for data processing with most used features and new concepts.

    You should learn Microsoft Fabric because it offers the following benefits:

    1. Seamlessly integrated platform: Fabric simplifies your analytics requirements by providing a user-friendly, integrated solution.

    2. Alternative to siloed approach: It reduces complexity by integrating solutions across the analytics stack.

    3. Unified experience: Fabric brings all your data and analytics tools into a single experience.

    4. Artificial intelligence capabilities: Fabric includes generative AI built in.

    5. Empowerment for business users and cost reduction through unified capacities.

    Keep yourself up to date with the latest technology used in the industry at the moment.

    Hope your Learn and enjoy the course!! Stay motivated, learning never ends in the IT industry, so let's grow on learn together!!

    Keep yourself up to date with the latest technology used in the industry at the moment.

    Who this course is for:

    • Data Engineers or Students
    • Professionals

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    Category

    Microsoft Azure

    Udemy
    Udemy
    View courses Udemy
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 33
    • duration 4:31:52
    • Release Date 2024/10/31

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