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- 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.
- 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
- Microsoft Fabric provides a scalable and flexible store for real-time data.
After completing this module, you'll be able to:
- Create an Eventhouse in Microsoft Fabric.
- Write effective KQL queries.
- Understand how to use materialized views and stored functions in a KQL database.
