- 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.
- 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.
- Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data at scale.
In this module, you'll learn how to:
Configure Spark in a Microsoft Fabric workspace
Identify suitable scenarios for Spark notebooks and Spark jobs
Use Spark dataframes to analyze and transform data
Use Spark SQL to query data in tables and views
Visualize data in a Spark notebook
- Tables in a Microsoft Fabric lakehouse are based on the Delta Lake technology commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.
In this module, you'll learn how to:
Understand Delta Lake and delta tables in Microsoft Fabric
Create and manage delta tables using Spark
Optimize delta tables
Use Spark to query and transform data in delta tables
Use delta tables with Spark structured streaming
- Data ingestion is crucial in analytics. Microsoft Fabric's Data Factory offers Dataflows for visually creating multi-step data ingestion and transformation using Power Query Online.
In this module, you'll learn how to:
- Describe Dataflow capabilities in Microsoft Fabric
- Create Dataflow solutions to ingest and transform data
- Include a Dataflow in a pipeline
- Use Data Factory pipelines in Microsoft Fabric
In this module, you learn how to:
Describe pipeline capabilities in Microsoft Fabric.
Use the Copy Data activity in a pipeline.
Create pipelines based on predefined templates.
Run and monitor pipelines.
- Explore the potential of the medallion architecture design in Microsoft Fabric. Organize and transform your data across Bronze, Silver, and Gold layers of a lakehouse for optimized analytics.
In this module, you'll learn how to:
- Describe the medallion architecture pattern and why it's used in lakehouse analytics.
- Identify the key decisions when planning a medallion architecture in Fabric.
- Describe how gold layer data is served for querying and reporting.
- Describe best practices for securing and governing medallion layers.
