End-to-end sample

This article explains how to use the End-to-end sample solution to automatically create a collection of sample components. It lets you explore the main features of Real-Time Intelligence with sample data. It provides a comprehensive end-to-end solution, demonstrating how Real-Time Intelligence components work together to stream, analyze, and visualize real-time data in a real-world context.

Tip

To implement this solution with your data, follow the end-to-end tutorial.

The sample data sets help you understand how to use Real-Time Intelligence components. The sample data sets include:

• Bike rental data: Contains London-based bike movements, occupancies, and tracks user patterns.
• Stock ticker data: Contains sample S&P 500 stock ticker data.

Components of the end-to-end sample

The sample end-to-end solution includes these components:

• Eventstream: An Eventstream is the engine for data ingestion and processing of your real-time data into Microsoft Fabric. You can transform your data and route it via filters to various destinations. Read more about event streams.

• Eventhouse: An Eventhouse is where data is stored and analyzed. An Eventhouse is designed to handle real-time data streams efficiently. An Eventhouse can hold one or more KQL databases. They're tailored to large volumes of time-based, streaming events with structured, semi structured, and unstructured data. Read more about Eventhouse.

• KQL Database: A KQL Database is where data is stored and managed. It allows you to query data in real-time, providing a powerful tool for data exploration and analysis. The KQL database supports various data policies and transformations. Read more about KQL databases.

• KQL Queryset: A KQL Queryset is used to run queries, view, and customize query results on data from a KQL queryset.

• Real-Time Dashboard: A Real-Time Dashboard provides an up-to-the-second snapshot of various goals and data points in a collection of tiles. Each tile has an underlying query and a visual representation. It allows you to visualize data in real-time, providing insights and enabling data exploration. Read more about Real-Time dashboards.

• Power BI: is used to create real-time reports that display data from Eventstreams and KQL Databases managed by Real-Time Intelligence.

Create an end-to-end sample

These steps show how to create an end-to-end sample using the bike rental sample data.

1. Select Workloads from the left navigation bar, and then Real-Time Intelligence.

2. On the Real-Time Intelligence samples tile, select Get started.

3. In the Create samples window, select Get started with bike rental data.

   

4. Select the sample items to create. By default, all items are selected.

   Note

   Real-time Dashboard, Report, and Queryset are optional and can be cleared. However, we recommend creating the entire component set for the best experience.

   

5. Set the Destination Location for the sample components. By default, the items are created in the current workspace. Select a different workspace from the dropdown list if needed.

6. Select Create to create the sample components. The progress window shows the status of the creation process.

   

7. When the sample data is ready, start exploring by selecting Open Eventhouse or Open Folder.

   

8. To explore the sample data at any time, open the workspace and browse to the Bike_sample folder.

   

9. Select Bike_Eventhouse, Bike_Eventstream, Bike_Queryset, or Bike_Dashboard and explore the sample data. After you open each item for the first time, it appears in the left navigation bar for easy access.

   

Related content

• What is Real-Time Intelligence?
• Sample Gallery