Introduction to Microsoft Fabric by Microsoft Press

سرفصل های دوره

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.

01 - Introduction

01 - Introduction to Microsoft Fabric

02 - 1. Get Started with Microsoft Fabric

01 - Learning objectives

02 - Understand challenges in data analytics

03 - Appreciate the Microsoft Fabric vision

04 - Enable Microsoft Fabric on an existing Power BI tenant

05 - Set up a new Microsoft Fabric tenant

06 - Choose the right Fabric license

03 - 2. Explore the Microsoft Fabric Platform

01 - Learning objectives

02 - Understand OneLake

03 - Organize data in a data warehouse

04 - Organize data in a lakehouse

05 - Load and transform data through pipelines and dataflows

06 - Analyze data with semantic models and reports

07 - Work with data through notebooks

08 - Apply advanced data science

09 - Implement real-time analytics

10 - Act on your data with Data Activator

11 - Monitor and manage with Purview

12 - Choose roles in Fabric

04 - 3. Load Data into Fabric

01 - Learning objectives

02 - Create a pipeline to load data

03 - Configure shortcuts

04 - Synchronize data with the OneLake explorer

05 - Use a notebook to turn files into tables

05 - 4. Load and Transform Data with Dataflows

01 - Learning objectives

02 - Create a dataflow to load data

03 - Use a dataflow to turn files into tables

04 - Transform data with dataflows

06 - 5. Manage Data with Fabric Warehouse

01 - Learning objectives

02 - Apply T-SQL to set up a warehouse

03 - Query data

04 - Create reports with the default semantic model

07 - 6. Manage Data with Fabric Lakehouse

01 - Learning objectives

02 - Set up a lakehouse

03 - Query the SQL analytics endpoint

04 - Create reports with the default semantic model

05 - Create a custom semantic model on lakehouse data

08 - 7. Analyze Data through Semantic Models

01 - Learning objectives

02 - Understand Direct Lake

03 - Create DAX measures

04 - Create visual reports

05 - Create paginated reports

09 - 8. Apply Real-Time Analytics

01 - Learning objectives

02 - Ingest streaming data in Fabric

03 - Configure a KQL database

04 - Set up a streaming semantic model

05 - Build real-time reports

10 - 9. Take Action through Data Activator

01 - Learning objectives

02 - Understand Data Activator

03 - Set up triggers

11 - 10. Apply Data Science

01 - Learning objectives

02 - Run ML experiments in Fabric

03 - Predict outcomes using ML models

12 - 11. Manage Fabric Usage

01 - Learning objectives

02 - Get insights through the Purview hub

03 - Access admin monitoring

13 - Summary

01 - Summary

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تولید کننده: LinkedIn Learning (Lynda)