2025-12-10 –, Machine Learning & AI
Tired of paying for cloud compute just to view your own data? Discover how to build a completely free, open-source personal data warehouse that runs entirely on your machine.
– Import data from Excel, CSV, SQL Server, and Microsoft Fabric
– Use AI-powered Python/C# code for advanced data transformations
– Generate SSRS-style reports – no cloud required
– Leverage local compute power to avoid cloud costs
Typically, a data warehouse operates in the cloud. When you access your data—even just to view it—you incur compute costs (in other words, you pay). But you already have a computer with a CPU and memory capable of handling most tasks. Wouldn’t it be great to view, edit, and transform your data right on your own machine? Now you can!
This free open source application allows you to import your data, transform it using AI to create python code to perform calculations, and report and export the results.
In this talk, Microsoft MVP Michael Washington shows how to:
– Import data from Excel, CSV, SQL Server, and Microsoft Fabric
– Use AI-powered Python/C# code for advanced data transformations
– Generate SSRS-style reports – no cloud required
– Leverage local compute power to avoid cloud costs
Whether you’re a developer, analyst, or data enthusiast, this session will help you take full control of your data with zero hosting fees. Live demos included!
No
Michael Washington is a Microsoft MVP and an ASP.NET C# Microsoft Blazor programmer. He has extensive knowledge in artificial intelligence, and student information systems. He is the founder of BlazorData.net.