This course covers methods and practices for implementing and managing enterprise-scale data analytics solutions using Microsoft Fabric. Students will build on existing analytics experience and will learn how to use Microsoft Fabric components, including lakehouses, data warehouses, notebooks, dataflows, data pipelines, and semantic models, to create and deploy analytics assets.
This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.
Who Should Attend?
The primary audience for this course is data professionals with experience in data modeling, extraction, and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.
Students will learn how to,
Get started with Microsoft Fabric
Implement a Lakehouse with Microsoft Fabric
Ingest data with Microsoft Fabric
Implement a data warehouse with Microsoft Fabric
Work with semantic models in Microsoft Fabric
1 - Introduction to end-to-end analytics using Microsoft Fabric
Explore end-to-end analytics with Microsoft Fabric
Data teams and Microsoft Fabric
Enable and use Microsoft Fabric
2 - Get started with lakehouses in Microsoft Fabric
Explore the Microsoft Fabric lakehouse
Work with Microsoft Fabric lakehouses
Explore and transform data in a lakehouse
3 - Use Apache Spark in Microsoft Fabric
Prepare to use Apache Spark
Run Spark code
Work with data in a Spark dataframe
Work with data using Spark SQL
Visualize data in a Spark notebook
4 - Work with Delta Lake tables in Microsoft Fabric
Understand Delta Lake
Create delta tables
Optimize delta tables
Work with delta tables in Spark
Use delta tables with streaming data
5 - Orchestrate processes and data movement with Microsoft Fabric
Understand pipelines
Use the Copy Data activity
Use pipeline templates
Run and monitor pipelines
6 - Ingest Data with Dataflows Gen2 in Microsoft Fabric
Understand Dataflows Gen2 in Microsoft Fabric
Explore Dataflows Gen2 in Microsoft Fabric
Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric
7 - Get started with data warehouses in Microsoft Fabric
Understand data warehouse fundamentals
Understand data warehouses in Fabric
Query and transform data
Prepare data for analysis and reporting
Secure and monitor your data warehouse
8 - Get started with Real-Time Intelligence in Microsoft Fabric
What is real-time data analytics?
Real-Time Intelligence in Microsoft Fabric
Ingest and transform real-time data
Store and query real-time data
Visualize real-time data
Automate actions
9 - Get started with data science in Microsoft Fabric
Understand the data science process
Explore and process data with Microsoft Fabric
Train and score models with Microsoft Fabric
10 - Administer a Microsoft Fabric environment
Understand the Fabric Architecture
Understand the Fabric administrator role
Manage Fabric security
Govern data in Fabric
11 - Introduction to end-to-end analytics using Microsoft Fabric
Explore end-to-end analytics with Microsoft Fabric
Data teams and Microsoft Fabric
Enable and use Microsoft Fabric
12 - Get started with data warehouses in Microsoft Fabric
Understand data warehouse fundamentals
Understand data warehouses in Fabric
Query and transform data
Prepare data for analysis and reporting
Secure and monitor your data warehouse
13 - Load data into a Microsoft Fabric data warehouse
Explore data load strategies
Use data pipelines to load a warehouse
Load data using T-SQL
Load and transform data with Dataflow Gen2
14 - Query a data warehouse in Microsoft Fabric
Query data
Use the SQL query editor
Explore the visual query editor
Use client tools to query a warehouse
15 - Monitor a Microsoft Fabric data warehouse
Monitor capacity metrics
Monitor current activity
Monitor queries
16 - Secure a Microsoft Fabric data warehouse
Explore dynamic data masking
Implement row-level security
Implement column-level security
Configure SQL granular permissions using T-SQL
17 - Add measures to Power BI Desktop models
Create simple measures
Create compound measures
Create quick measures
Compare calculated columns with measures
18 - Design scalable semantic models
Choose the best storage mode
Configure semantic models for large data
Work with relationships
Write DAX for readability with complex calculations
Create dynamic calculation elements
19 - Optimize a model for performance in Power BI
Review performance of measures, relationships, and visuals
Use variables to improve performance and troubleshooting
Reduce cardinality
Optimize DirectQuery models with table level storage
Create and manage aggregations
20 - Create and manage Power BI assets
Create reusable Power BI assets
Manage development lifecycle for Power BI assets
Use lineage view and endorse data assets
Manage a Power BI semantic model using XMLA endpoint
21 - Enforce Power BI model security
Restrict access to Power BI model data
Restrict access to Power BI model objects
Apply good modeling practices
22 - Administer a Microsoft Fabric environment
Understand the Fabric Architecture
Understand the Fabric administrator role
Manage Fabric security
Govern data in Fabric
23 - Secure data access in Microsoft Fabric
Understand the Fabric security model
Configure workspace and item permissions
Apply granular permissions
24 - Secure a Microsoft Fabric data warehouse
Explore dynamic data masking
Implement row-level security
Implement column-level security
Configure SQL granular permissions using T-SQL
25 - Govern data in Microsoft Fabric with Purview
Govern data in Microsoft Fabric
Why use Microsoft Purview with Microsoft Fabric?
Govern data in the Microsoft Purview hub
This course is best suited for those who have the PL-300 certification or similar expertise in using Power BI for data transformation, modeling, visualization, and sharing. Also, learners should have prior experience in building and deploying data analytics solutions at the enterprise level.
