Microsoft Fabric Training in San Francisco Bay Area

Microsoft Fabric is a unified analytics platform that integrates data engineering, data integration, data warehousing, data science, real-time analytics, and business intelligence into a single solution.

This instructor-led, live training (online or onsite) is designed for intermediate-level data professionals who aim to leverage Microsoft Fabric to develop modern data solutions with integrated analytics, governance, and visualization tools tailored for government use.

By the end of this training, participants will be able to:

• Understand the components of Microsoft Fabric and their integration within the Microsoft ecosystem for government.
• Create and manage Fabric Workspaces with appropriate access control measures.
• Build and manage Lakehouses to centralize and analyze data efficiently.
• Utilize notebooks for exploratory analysis and transformation using Python and SQL.
• Create and automate data flows using visual pipelines.
• Model and manage data using the Data Warehouse and Semantic Model layers.
• Design and publish interactive dashboards with Power BI in Fabric for government reporting and decision-making.

Format of the Course

• Interactive lecture and discussion sessions.
• Extensive exercises and practice activities.
• Hands-on implementation in a live-lab environment for government-specific scenarios.

Course Customization Options

• To request a customized training for this course, tailored to specific needs for government, please contact us to arrange.

This instructor-led, live training in San Francisco Bay Area (online or onsite) is designed for intermediate-level data professionals who wish to implement a lakehouse solution using Microsoft Fabric for government.

By the end of this training, participants will be able to:

• Comprehend the architecture and components of Microsoft Fabric.
• Configure and manage a Lakehouse using Microsoft Fabric.
• Ingest and transform data using Apache Spark.
• Utilize Delta Lake tables for versioning and managing data.
• Implement data ingestion pipelines with Dataflows Gen2.
• Orchestrate data pipelines using Data Factory.