LU1 Introduction to data analytics on Azure
Topic 1 Explore Azure data services for modern analytics
Understand the Azure data ecosystem
Explore modern analytics solution architecture
Topic 2 Understand concepts of data analytics
Understand data analytics types
Explore the data analytics process
Understand types of data and data storage
Topic 3 Explore data analytics at scale
Explore data team roles and responsibilities
Review tasks and tools for data analysts
Scale analytics with Azure Synapse Analytics and Power BI
Strategies to scale analytics
LU2 Govern data across an enterprise
Topic 4 Introduction to Microsoft Purview
What is Microsoft Purview?
How Microsoft Purview works
When to use Microsoft Purview
Topic 5 Discover trusted data using Microsoft Purview
Search for assets
Browse assets
Use assets with Power BI
Integrate with Azure Synapse Analytics
Topic 6 Catalog data artifacts by using Microsoft Purview
Register and scan data
Classify and label data
Search the data catalog
Topic 7 Manage Power BI assets by using Microsoft Purview
Register and scan a Power BI tenant
Search and browse Power BI assets
View Power BI metadata and lineage
Topic 8 Integrate Microsoft Purview and Azure Synapse Analytics
Catalog Azure Synapse Analytics data assets in Microsoft Purview
Connect Microsoft Purview to an Azure Synapse Analytics workspace
Search a Purview catalog in Synapse Studio
Track data lineage in pipelines
Exercise - Integrate Azure Synapse Analytics and Microsoft Purview
LU3 Model, query, and explore data in Azure Synapse
Topic 9 Introduction to Azure Synapse Analytics
What is Azure Synapse Analytics
How Azure Synapse Analytics works
When to use Azure Synapse Analytics
Exercise - Explore Azure Synapse Analytics
Topic 10 Use Azure Synapse serverless SQL pool to query files in a data lake
Understand Azure Synapse serverless SQL pool capabilities and use cases
Query files using a serverless SQL pool
Create external database objects
Exercise - Query files using a serverless SQL pool
Topic 11 Analyze data with Apache Spark in Azure Synapse Analytics
Get to know Apache Spark
Use Spark in Azure Synapse Analytics
Analyze data with Spark
Visualize data with Spark
Exercise - Analyze data with Spark
Topic 12 Analyze data in a relational data warehouse
Design a data warehouse schema
Create data warehouse tables
Load data warehouse tables
Query a data warehouse
Exercise - Explore a data warehouse
LU4 Prepare data for tabular models in Power BI
Topic 13 Choose a Power BI model framework
Describe Power BI model fundamentals
Determine when to develop an import model
Determine when to develop a DirectQuery model
Determine when to develop a composite model
Choose a model framework
Topic 14 Understand scalability in Power BI
Describe the significance of scalable models
Implement Power BI data modeling best practices
Configure large datasets
Exercise: Create a star schema model
Topic 15 Create and manage scalable Power BI dataflows
Define use cases for dataflows
Create reusable assets
Implement best practices
Exercise: Create a dataflow
LU5 Design and build tabular models
Topic 16 Create Power BI model relationships
Understand model relationships
Set up relationships
Use DAX relationship functions
Understand relationship evaluation
Exercise: Work with model relationships
Topic 17 Use DAX time intelligence functions in Power BI Desktop models
Use DAX time intelligence functions
Additional time intelligence calculations
Exercise - Create Advanced DAX Calculations in Power BI Desktop
Topic 18 Create calculation groups
Understand calculation groups
Explore calculation groups features and usage
Create calculation groups in a model
Exercise: Create calculation groups
Topic 19 Enforce Power BI model security
Restrict access to Power BI model data
Restrict access to Power BI model objects
Apply good modeling practices
Exercise: Enforce model security
Topic 20 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
Exercise: Use tools to optimize Power BI performance
LU6 Implement advanced data visualization techniques by using Power BI
Topic 21 Understand advanced data visualization concepts
Create and import a custom report theme
Enable personalized visuals in a report
Design and configure Power BI reports for accessibility
Create custom visuals with R or Python
Review report performance using Performance Analyzer
Topic 22 Monitor data in real-time with Power BI
Describe Power BI real-time analytics
Set up automatic page refresh
Create real-time dashboards
Set-up auto-refresh paginated reports
Exercise: Monitor data in real-time with Power BI
Topic 23 Create paginated reports
Get data
Create a paginated report
Work with charts on the report
Publish the report
LU7 Implement and manage an analytics environment
Topic 24 Provide governance in a Power BI environment
Elements of data governance
Configure tenant settings
Deploy organizational visuals
Manage embed codes
Help and support settings
Topic 25 Facilitate collaboration and sharing in Power BI
Workspaces evolved
Impact to Power BI users
Permissions in workspaces v
Apps in Power BI
Share
Publish to web
Embed and link in portals
Data sensitivity labels
Data privacy
Topic 26 Monitor and audit usage
Premium resource management
Supporting multi geographies
Bring your own key (BYOK)
Featured external tools
Topic 27 Establish a data access infrastructure in Power BI
Personal gateways versus enterprise gateways
How data is refreshed
Gateway network requirements
Where to install gateway?
Establish high availability gateways
Establish load balancing of gateways
Gateway performance monitoring documentation
Multiple data sources per gateway
Manage gateway users
Active Directory user mapping with custom property lookup
Topic 28 Broaden the reach of Power BI
REST API custom development
Provision a Power BI embedded capacity
Dataflow introduction
Dataflow explained
Create a Dataflow
Dataflow capabilities on Power BI Premium
Template apps - install packages
Template apps - installed entities
Template app governance
Topic 29 Automate Power BI administration
REST API - Power BI service
Microsoft Power BI cmdlets for Windows PowerShell and PowerShell core
Install and use the Power BI cmdlet
Test REST API calls
Script typical administrator tasks
Lab
Topic 30 Build reports using Power BI within Azure Synapse Analytics
Describe the Power BI and Synapse workspace integration
Exercise - Connect to Power BI from Synapse
Understand Power BI data sources
Exercise - Create a new data source to use in Power BI
Exercise - Create a new Power BI report in Synapse Studio
Describe Power BI optimization options
Exercise - Improve performance with materialized views and result-set caching
Visualize data with serverless SQL pools
LU8 Manage the analytics development lifecycle
Topic 31 Design a Power BI application lifecycle management strategy
Define application lifecycle management
Recommend a source control strategy
Design a deployment strategy
Topic 32 Create and manage a Power BI deployment pipeline
Understand the deployment process
Create a deployment pipeline
Assign a workspace
Deploy content
Work with deployment pipelines
Topic 33 Create and manage Power BI assets
Create reusable Power BI assets
Explore Power BI assets using lineage view
Manage a Power BI dataset using XMLA endpoint
Exercise: Create reusable Power BI assets
