The Seven Fabric Experiences (Part 2)
1. The Seven Fabric Workloads (Part 2)
Let's dive back into exploring the seven Fabric workloads.2. The Seven Fabric Experiences
So far, we’ve explored three of the seven Fabric workloads. Let’s now look at the remaining four: Data Science, Real-Time Intelligence, PowerBI, and Partner workloads. Our three workloads in the last video lived much more in the Data Engineering world. These workloads are more focused on analysis and reporting.3. Data Science
Let’s start with Data Science. The main tools in Data Science are focused on building models and experiments. Data Scientists can use Notebooks to write Spark code for initial data exploration and manipulation.4. Data Science
The ML Model tool can be used to create machine learning models and evaluate their relative strengths. The Experiment tool prepares insights from models to be used with a tool like Power BI. In short, the Data Science workload contains all the tools a Data Scientist would need to implement an end-to-end machine learning workflow.5. Data Science
These Data Science tools primarily work with Lakehouses - remember, Lakehouses are typically used when working with Notebooks and Spark, whereas Warehouses are used when working primarily with SQL.6. Power BI
Next, we’ll look at the Power BI workload. Power BI is a Microsoft product that was released in 2011. It is a product built to create dashboards and visualizations to drive business impact. With Power BI's integration into Fabric, the entire data workflow now lives within the same ecosystem. BI Developers now have direct access to the data stored in Lakehouses and Warehouses in Fabric.7. Real Time Intelligence
The next workload we’ll look at is real-time intelligence. This experience has a suite of tools built around ingesting, processing, analyzing, and monitoring events in real-time. This workload has a new data storage option: the eventhouse. An eventhouse is similar to a lakehouse or warehouse but specifically designed to handle real-time data streams. Like with other Fabric storage solutions, eventhouses use OneLake, meaning data in your eventhouse can be accessed across other areas of Fabric.8. Real Time Intelligence
The real-time intelligence workload also contains the Eventstream tool. This tool ingests real-time data, transforms it, and routes it to the appropriate storage option. You can think of it as the real-time equivalent of DataFlow; it’s a tool where you define how to manipulate your data before sending it to its final destination.9. Real Time Intelligence
The Real Time Intelligence workload also has a very useful tool named Activator. This tool lets users define actions to take when certain patterns or conditions are detected in data. It can connect to Power BI reports or Event streams. For example, let’s say you are collecting data from sensors monitoring the number of items in a warehouse. When the number of items passes a certain threshold, an event could be triggered to send an email to the manager of that warehouse.10. Industry Solutions
The final workflow is called Industry Solutions. Industry Solutions contains tools that have been built for specific use cases. For example, a tool like Retail Solutions can help companies with tasks like customer segmentation, while the Sustainability tool can help companies work with Environmental, Social, and Governance (ESG) data.11. Let's practice!
Let’s jump back into Fabric to explore these final Fabric workloads!Create Your Free Account
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