- 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
- 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.
- 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
- 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.
- Get started with data science in Microsoft Fabric by learning how to train a model in a notebook, and track your metrics with MLflow and experiments.
In this module, you'll learn how to:
- Understand the data science process
- Train models with notebooks in Microsoft Fabric
- Track model training metrics with MLflow and experiments
- Microsoft Fabric is a SaaS solution for end-to-end data analytics. As an administrator, you can configure features and manage access to accommodate your organization's needs.
In this module, you learn how to:
- Describe Fabric admin tasks
- Navigate the admin center
- Manage user access
- Govern data in Fabric
