Introducing Azure Maps heatmap in Microsoft Power BI
We are excited to introduce the Heat Map layer option to the Azure Maps Visual (preview) in Microsoft Power BI.
A heatmap displays the data density using various colors and shows the data "hot spots" on a map. A heat map is a great way to render datasets with a large number of points. A heatmap is useful when visualizing vast comparative data, for example:
- Comparing customer satisfaction rates or shop performance among regions or countries.
- Measuring the frequency with which customers visit shopping malls in different locations.
- Visualizing vast statistical and geographical datasets.
To use the Heat Map layer in the Azure Maps Visual (preview) in Microsoft Power BI, you need to enable Azure Maps Visual, select File > Options and Settings > Options > Preview features, then select the Azure Maps Visual checkbox.
The heatmap formatting pane (Format) allows users to customize and design the heatmap visualizations the way they prefer. The formatting pane will enable users to:
- Configure the radius of each data point in pixels or meters
- Customize the opacity and intensity of the heatmap layer
- Specify if the Size field should be used as the weight of each data point
- Choose custom colors using the color picker
- Set the minimum and maximum zoom levels for the heatmap
- Arrange the heat map layer position amongst other layers, e.g., 3D bar chart and bubble layers
Published on:
Learn moreRelated posts
Azure DevOps and GitHub: Journeying into the AI Era
AI is changing how software gets planned, built, and reviewed. As teams adopt agentic development, the platform underneath those workflows mat...
Introducing azure-functions-skills: An AI-Era Workspace for Azure Functions (Preview)
azure-functions-skills gives GitHub Copilot CLI, Claude Code, Codex CLI, and VS Code the skills, MCP configuration, hooks, and instructions ne...
Announcing the Public Preview of Integrated Embeddings in Azure Cosmos DB: Build AI Apps With Embeddings That Stay in Sync
AI applications built on Azure Cosmos DB depend on embeddings for grounded results. Keeping them in sync with your data is the hard part: it m...
Introducing OmniVec: An Open-Source Embedding Platform for AI Apps on Azure
Today we are open-sourcing OmniVec, a platform for building and operating the embedding pipelines that keep the vector representation of your ...
Azure Cosmos DB All Versions and Deletes Change Feed Mode is Now Generally Available
Modern applications don’t just write data and move on. They react to it. A new order triggers an inventory update. A profile change sync...
Change Partition Keys in Azure Cosmos DB is Now Generally Available
We’re excited to announce the general availability of Change Partition Key in Azure Cosmos DB for NoSQL, now with online copy support. Y...
Announcing the General Availability of Per Partition Automatic Failover for Azure Cosmos DB NoSQL
Today, we are excited to announce the General Availability of Per Partition Automatic Failover (PPAF) for Azure Cosmos DB NoSQL API. PPAF is a...
Public Preview: AI-powered Azure Cosmos DB Migration Assistant for RDBMS to NoSQL
Today, we are excited to announce the public preview of the Azure Cosmos DB Migration Assistant for RDBMS to NoSQL, now available in the Azure...
Azure Cosmos DB MCP Toolkit Is Now Generally Available — Bringing Your Database to AI Agents at Scale
Since we introduced the Azure Cosmos DB MCP Toolkit at Ignite 2025 in preview, the response has been clear: developers want a straightforward ...
Announcing General availability of the Azure Cosmos DB vNext emulator
The Azure Cosmos DB vNext emulator is generally available today. It ships as a Docker image that runs on Linux, macOS, and Windows, on both x6...