Danny Kruge

azurebeerbrains.blogspot.com

Danny Kruge is a Microsoft Data Plaform MVP with a robust background in SQL Server and over a decade of experience in the field. Originally from Leicester, England, and now residing in the Netherlands, he has dedicated years to honing his skills and expanding his expertise into areas like Azure and Windows Engineering. Danny is particularly passionate about Azure Data Factory, where he leverages his deep knowledge to design efficient data workflows. As an active community leader, he organizes the Azure Heroes Netherlands Community Day and the Azure user group NL, helping to foster knowledge-sharing and collaboration among tech enthusiasts. Committed to continuous learning and community support, Danny enjoys sharing his insights to help others navigate data challenges and avoid common mistakes.

Sessions for 2026

Is This Just Real-Time… or Is It Just Fabric?

Everyone wants real-time data, but what does that actually mean? When your business users say real-time, are they talking about a few seconds, a few minutes, or just “faster than yesterday”? In this session, we’ll pull back the curtain on the buzzword and explore what “real-time” really means from near-real-time micro-batching to true event-driven streaming and how you can build these patterns directly within Microsoft Fabric.

Seamless Cross-Tenant Azure SQL Migrations with Geo-Replication

Discover how to perform seamless, no-downtime migrations of Azure SQL databases across tenants using geo-replication and the Microsoft backbone. This session will delve into the technical steps to set up secure cross-tenant geo-replication without exposing public endpoints.

Talk to Your Data: The Future of Data Interaction with AI

In the evolving world of data, the ability to interact with your datasets and databases using natural language is a game-changer. This session will introduce you to the power of Azure OpenAI, Azure SQL, and Microsoft Fabric, showing you how to break down barriers that have traditionally required knowledge of T-SQL or other coding languages.

Unlocking the Power of Optimization in Azure Data Factory

Imagine deploying a project that seamlessly moves data from on-premises to Azure and Power BI, only to find your daily reports taking a staggering 18 hours to run in production.