Course Overview
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,
There are currently no public events available for this course. However, you can submit a request for a new date and we will try our best to get you into a Microsoft Fabric Analytics Engineer (DP-600T00) class.
1 - 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
2 - Ingest data with Spark and Microsoft Fabric notebooks
Connect to data with Spark
Write data into a lakehouse
Consider uses for ingested data
3 - Use Data Factory pipelines in Microsoft Fabric
Understand pipelines
Use the Copy Data activity
Use pipeline templates
Run and monitor pipelines
4 - Get started with lakehouses in Microsoft Fabric
Explore the Microsoft Fabric Lakehouse
Work with Microsoft Fabric Lakehouses
Explore and transform data in a lakehouse
5 - Organize a Fabric lakehouse using medallion architecture design
Describe medallion architecture
Implement a medallion architecture in Fabric
Query and report on data in your Fabric lakehouse
Considerations for managing your lakehouse
6 - 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
7 - Work with Delta Lake tables in Microsoft Fabric
Understand Delta Lake
Create delta tables
Work with delta tables in Spark
Use delta tables with streaming data
8 - 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
9 - 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
10 - Query a data warehouse in Microsoft Fabric
Use the SQL query editor
Explore the visual query editor
Use client tools to query a warehouse
11 - Monitor a Microsoft Fabric data warehouse
Monitor capacity metrics
Monitor current activity
Monitor queries
12 - Understand scalability in Power BI
Describe the significance of scalable models
Implement Power BI data modeling best practices
Configure large datasets
13 - Create Power BI model relationships
Understand model relationships
Set up relationships
Use DAX relationship functions
Understand relationship evaluation
14 - Use tools to optimize Power BI performance
Use Performance analyzer
Troubleshoot DAX performance by using DAX Studio
Optimize a data model by using Best Practice Analyzer
15 - Enforce Power BI model security
Restrict access to Power BI model data
Restrict access to Power BI model objects
Apply good modeling practices
There are currently no public events available for this course. However, you can submit a request for a new date and we will try our best to get you into a Microsoft Fabric Analytics Engineer (DP-600T00) class.
