Introduction to Microsoft Fabric by Microsoft Press

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Microsoft Press and Tim Warner

5:44:57

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01 - Introduction

01 - Introduction to Microsoft Fabric.mp4

06:32

02 - 1. Get Started with Microsoft Fabric

01 - Learning objectives.mp4

01:13

02 - Understand challenges in data analytics.mp4

05:42

03 - Appreciate the Microsoft Fabric vision.mp4

06:53

04 - Enable Microsoft Fabric on an existing Power BI tenant.mp4

03:24

05 - Set up a new Microsoft Fabric tenant.mp4

02:29

06 - Choose the right Fabric license.mp4

06:30

03 - 2. Explore the Microsoft Fabric Platform

01 - Learning objectives.mp4

01:26

02 - Understand OneLake.mp4

09:43

03 - Organize data in a data warehouse.mp4

07:12

04 - Organize data in a lakehouse.mp4

05:45

05 - Load and transform data through pipelines and dataflows.mp4

06:17

06 - Analyze data with semantic models and reports.mp4

11:37

07 - Work with data through notebooks.mp4

05:49

08 - Apply advanced data science.mp4

06:33

09 - Implement real-time analytics.mp4

05:08

10 - Act on your data with Data Activator.mp4

05:16

11 - Monitor and manage with Purview.mp4

02:20

12 - Choose roles in Fabric.mp4

04:13

04 - 3. Load Data into Fabric

01 - Learning objectives.mp4

01:13

02 - Create a pipeline to load data.mp4

07:31

03 - Configure shortcuts.mp4

06:42

04 - Synchronize data with the OneLake explorer.mp4

04:02

05 - Use a notebook to turn files into tables.mp4

12:04

05 - 4. Load and Transform Data with Dataflows

01 - Learning objectives.mp4

00:49

02 - Create a dataflow to load data.mp4

09:06

03 - Use a dataflow to turn files into tables.mp4

05:11

04 - Transform data with dataflows.mp4

19:16

06 - 5. Manage Data with Fabric Warehouse

01 - Learning objectives.mp4

01:22

02 - Apply T-SQL to set up a warehouse.mp4

05:02

03 - Query data.mp4

04:48

04 - Create reports with the default semantic model.mp4

05:12

07 - 6. Manage Data with Fabric Lakehouse

01 - Learning objectives.mp4

01:06

02 - Set up a lakehouse.mp4

04:06

03 - Query the SQL analytics endpoint.mp4

02:24

04 - Create reports with the default semantic model.mp4

02:38

05 - Create a custom semantic model on lakehouse data.mp4

06:31

08 - 7. Analyze Data through Semantic Models

01 - Learning objectives.mp4

01:20

02 - Understand Direct Lake.mp4

08:37

03 - Create DAX measures.mp4

23:43

04 - Create visual reports.mp4

11:26

05 - Create paginated reports.mp4

09:51

09 - 8. Apply Real-Time Analytics

01 - Learning objectives.mp4

01:27

02 - Ingest streaming data in Fabric.mp4

07:37

03 - Configure a KQL database.mp4

08:31

04 - Set up a streaming semantic model.mp4

05:03

05 - Build real-time reports.mp4

06:51

10 - 9. Take Action through Data Activator

01 - Learning objectives.mp4

01:01

02 - Understand Data Activator.mp4

10:34

03 - Set up triggers.mp4

11:27

11 - 10. Apply Data Science

01 - Learning objectives.mp4

00:52

02 - Run ML experiments in Fabric.mp4

16:42

03 - Predict outcomes using ML models.mp4

07:57

12 - 11. Manage Fabric Usage

01 - Learning objectives.mp4

01:00

02 - Get insights through the Purview hub.mp4

01:58

03 - Access admin monitoring.mp4

02:19

13 - Summary

01 - Summary.mp4

03:36

Description

Explore the extensive features of Microsoft Fabric. Start with the essentials, such as setting up a tenant and utilizing OneLake. Master the organization, loading, and transformation of data through pipelines, dataflows, and notebooks. Gain proficiency in applying T-SQL commands, configuring real-time analytics, and creating detailed paginated reports. Enhance your data management skills with structured approaches for both Fabric Warehouse and Fabric Lakehouse configurations. Additionally, explore machine learning experiments, manage data with Data Activator, and use Purview’s admin monitoring tools. By the end of this course, you’ll be ready to streamline data processes, generate real-time analytics, innovate with machine learning, and make data-driven decisions more effectively.

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.