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Microsoft fabric beginner to intermediate
Rating: 4.4 out of 5(10 ratings)
55 students

Microsoft fabric beginner to intermediate

Fabric!
Created byBhawna Bedi
Last updated 7/2024
English

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

Course content

1 section33 lectures4h 31m total length
  • Create a Microsoft Fabric Account10:35
  • 02 What is Microsoft Fabric10:36
  • What is OneLake?9:26
  • What is Microsoft Fabric Workspace?4:52
  • 05 What is lakehouse and create a lakehouse in fabric6:26
  • 06 Load Files and Table in Lakehouse5:13
  • 07 Load data in Lakehouse using DataFlowGen29:16
  • 08 SQL Analytics Endpoint in Fabric4:45
  • 09 Build VISUAL QUERY in Fabric4:59
  • 10 Build Shortcuts In Fabric4:42
  • 11 Set up Data Pipeline in Fabric12:41

    Set up and run a data pipeline in Microsoft Fabric using Data Factory and Data Flow Gen2, orchestrating copy data from sources to a lake house.

  • 12 Set up DataFlowgen2 in Fabric10:52

    Set up data flow Gen2 in fabric inside a data pipeline to orchestrate data movement and transformation. Load transformed data into the lake house and publish the pipeline.

  • 13 Schedule and Monitor Data Pipelines in Fabric5:42

    Learn to schedule and monitor data pipelines in Microsoft Fabric, including setting triggers, reviewing run history, and inspecting activity details in the monitor hub.

  • 14 Data Warehouse in Fabric6:57
  • 15 Work with Tables in Fabric warehouse6:54

    Learn to create and manage tables in a Microsoft Fabric warehouse using SQL templates, insert data, and run select and update queries.

  • 16 Alter table with CTAS in Fabric Warehouse5:29
  • 17 USE COPY INTO command in Fabric Warehouse7:09
  • 18 Copy data into Fabric Warehouse using Data Pipeline6:02

    Learn to copy data into Fabric Warehouse using a data pipeline, from selecting sample data to creating a new table, configuring load settings, and running the pipeline end-to-end.

  • 19 Reference Warehouses in Fabric4:41

    Learn to reference warehouses in Microsoft Fabric by using lake houses to query across databases without copying data, and create views that point to external tables.

  • 20 Clone tables in Fabric Warehouse8:31
  • 21 Apache Spark in Fabric12:20
  • 22 Work with Notebooks in Fabric13:05
  • 23 Transform & Load the Data in Delta Table using Fabric Notebooks #fabric16:27
  • 24 Use SQL & Temporary Views in Spark Notebooks7:49
  • 25 Schedule and Integrate Spark Notebooks in pipelines4:48
  • 26 REAL TIME INTELLIGENCE in Fabric8:14
  • 27 Create Eventhouse in Fabric and load the Data6:24
  • 28 Transform Data with KQL in Fabric5:13
  • 29 Visualize data in Realtime Intelligence using KQL2:40
  • 30 Ingest, Transform & load Realtime data in Fabric EventStream23:29
  • 31 RETENTION POLICIES & EVENTSTREAM DELETION4:57
  • 32 What is Data Activator in Fabric?6:02
  • 33 Implement Reflex, Trigger & Action using Event stream in Fabric14:36

Requirements

  • No Pre-requisite required

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