Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
- Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform. Discover the capabilities Fabric has to offer, understand how it works, and identify how you can use Fabric for your analytics needs.
In this module, you learn how to:
- Identify the capabilities of Microsoft Fabric.
- Implement Microsoft Fabric to meet your enterprise's analytics needs.
- Describe how Fabric supports AI capabilities through Copilot, data agents, and Fabric IQ.
- Browse and connect to data using Microsoft OneLake's unified storage. Discover data across workspaces with the OneLake catalog, create shortcuts to reference existing data, and explore streaming sources in Real-Time hub.
By the end of this module, you'll be able to:
- Describe OneLake architecture and capabilities
- Browse and connect to data using OneLake catalog
- Discover streaming data in Real-Time hub
- Lakehouses in Microsoft Fabric combine data lake flexibility with data warehouse analytics. Learn how to create, load, and query a lakehouse on a single platform.
In this module, you learn how to:
- Describe core features and capabilities of lakehouses in Microsoft Fabric.
- Create a lakehouse.
- Ingest and transform data in a lakehouse.
- Query and analyze lakehouse data with SQL and Spark.
- Understand the key components and design considerations for implementation of data warehouses in Microsoft Fabric.
In this module, you learn how to:
Describe data warehouse concepts and dimensional modeling fundamentals.
Create tables, load data, and understand ingestion methods in a Fabric warehouse.
Query and transform data using T-SQL and the visual query editor.
Model warehouse data for reporting and downstream consumption.
Secure and monitor a data warehouse.
- Real-Time Intelligence in Microsoft Fabric has capabilities that help you ingest, process, store, visualize, and act on data in motion to gain immediate insights from events as they happen.
In this module, you learn how to:
- Describe real-time analytics, streams and events.
- Understand Real-Time Intelligence components in Fabric.
- Ingest data and transform data in motion.
- Store and query data in KQL databases.
- Visualize streaming data with Real-Time Dashboards.
- Automate actions with Activator.
