Modern Analytics Academy - Hands-on
In the hands-on section, we’ll look at tutorials, labs, and hacks.
Fabric Specific Labs & Workshops
| Lab Name | Time | Content |
|---|---|---|
| Real-time Analytics Lab | 4 hours | Lab |
| Real-time Analytics Hack | 8 hours | (coming soon) Lab |
Our real-time analytics lab and hack will walk through a scenario of ingesting real-time data, storing it in a KQL database, develop reporting from the real time data, configure data activator for observability/alerting, and transform the data into a data warehouse from real-time data.
Progressive Fabric labs:
| Lab Name | Time | Content |
|---|---|---|
| Lab 01-Configure a Lakehouse, ingesting sample data and building report | 1 hour | Lab |
| Lab 02-Analyzing data with Apache Spark | 2 hours | Lab |
| Lab 03-Using delta tables in Apache Spark | 1 hour | Lab |
| Lab 04-Ingesting data with a pipeline | 1 hour | Lab |
| Lab 05-Creating and using a Dataflow (Gen2) in Microsoft Fabric | 30 minutes | Lab |
| Lab 06- Building a data warehouse in Microsoft Fabric (8 part series) | 2 hours | Lab |
| Lab 07- Training and tracking a model in Microsoft Fabric | 30 minutes | Lab |
| Lab 08- Data science end-to-end scenario: Introduction and Architecture (5 part series) | 2 hours | Lab |
| Lab 09- Training and evaluating a time series forecasting model in Microsoft Fabric | 1 hour | Lab |
| Lab 10- Create, evaluate, and deploy a fraud detection model in Microsoft Fabric | 1 hour | Lab |
| Lab 11- Exploring Synapse Real-Time Analytics in Microsoft Fabric | 1 hour | Lab |
Synapse Labs
| Lab Name | Time | Content |
|---|---|---|
| Azure Synapse Analytics and AI | 8 hours | Lab |
| Analytics In a Day - Synapse | 4 hours | Lab |
| Simplifying data flows with Azure Data Factory | 8 hours | Lab |
| Modern Data Warehouse with Azure Synapse Analytics, Azure Databricks, Azure Data Factory, and Power BI |
4 hours | Lab |
| Microsoft Purview | 8 hours | Lab |
| Data Lakehouse Workshop | 8 hours | Lab |
Contributions
We welcome contributors to this project. Please use the GitHub links near the upper right and consider submitting pull requests or filing issues as needed.