This course covers methods and practices for performing advanced data analytics at scale. Students will build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data. In this course, students will use Microsoft Purview, Azure Synapse Analytics, and Power BI to build analytics solutions.
Before attending this course, it is recommended that students have:
Explore Azure data services for modern analytics
Understand concepts of data analytics
Explore data analytics at scale
Introduction to Microsoft Purview
Discover trusted data using Microsoft Purview
Catalog data artifacts by using Microsoft Purview
Manage Power BI assets by using Microsoft Purview
Integrate Microsoft Purview and Azure Synapse Analytics
Introduction to Azure Synapse Analytics
Use Azure Synapse serverless SQL pool to query files in a data lake
Analyze data with Apache Spark in Azure Synapse Analytics
Analyze data in a relational data warehouse
Choose a Power BI model framework
Understand scalability in Power BI
Create and manage scalable Power BI dataflows
Create Power BI model relationships
Use DAX time intelligence functions in Power BI Desktop models
Create calculation groups
Enforce Power BI model security
Use tools to optimize Power BI performance
Understand advanced data visualization concepts
Monitor data in real-time with Power BI
Create paginated reports
Provide governance in a Power BI environment
Facilitate collaboration and sharing in Power BI
Monitor and audit usage
Provision Premium capacity in Power BI
Establish a data access infrastructure in Power BI
Broaden the reach of Power BI
Automate Power BI administration
Build reports using Power BI within Azure Synapse Analytics
Design a Power BI application lifecycle management strategy
Create and manage a Power BI deployment pipeline
Create and manage Power BI assets
SCARICA MODULO ISCRIZIONE
