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Fabric Analyst in a Day (FAIAD)

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07 Labs

This track consists of 7 labs, designed to be completed in a single session without interruption. Once you launch the track, you'll have a total of 8 hours to complete all the labs. Please note that the track will remain available for 30 days after you redeem the voucher code. You’ll get two attempts to complete all the labs during this period. Post 30 days, all labs and related data will be automatically deleted from the CloudLabs Sandbox portal.

About Course

In this Hands-on-lab we are analyzing Power BI Desktop and Microsoft Fabric. First, Power BI Desktop is installed, reports are analyzed, and Power Queries are reviewed. Then, a Microsoft Fabric trial license is enabled, and various experiences like Data Factory, Data Activator, and Synapse for data engineering, data science, data warehousing, and real-time analytics are explored. In the Fabric Workspace, a workspace and a Lakehouse are created. Dataflow Gen2 is configured with connections to ADLS Gen2, Snowflake, Dataverse, and SharePoint, followed by creating and configuring queries for scheduled refreshes. Data pipelines are then established and configured. SQL is used for data querying and visualization, creating relationships and measures. Lastly, reports are created by auto-generating them, configuring backgrounds, adding headers, KPIs, and charts, and saving the final reports.

Hands-on Labs Covered

  • Set up Power BI Desktop and review Power queries
  • Overview of Fabric Experience, Fabric Workspace and its lakehouse
  • Create Dataflow Gen2 and ingest data into Lakehouse
  • How to connect different data sources(Snowflake, Sharepoint, Dataverse) using Dataflow Gen2 and ingest data into Lakehouse
  • How to explore Data modeling in Lakehouse
  • How to create Data pipeline and configure a scheduled refresh of a Data Pipeline
  • How to auto-create a report, build a report from blank canvas and experience Direct Lake resulting in data automatically refreshing

Audience

  • Data Analysts
  • Data Engineers
  • Business Intelligence Professionals
  • Database Administrators
  • Advanced Power BI Users

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