Reitse Eskens

Reitse began his computer days with GW Basic and quickly followed with Windows 3.11. After that, many computers followed, and, interrupted by human resource and psychology studies, he got into the IT work field around 2007. There, he encountered Oracle 9, which had a command line from 1980. At his current job, he met SQL Server. And loved it. Now he’s working with SQL 2008 to SQL 2019 on-premises and several Azure SQL Databases, supporting customers and tuning databases. New projects focus more on the Azure data platform as an architect, security advisor and data engineer. They include Fabric (Lakehouse and Realtime solutions), Data Factory and Synapse Analytics.

Sessions for 2026

Data Literacy: Navigating Your Way to Data-Driven Success!

Data literacy is for everyone—from data enthusiasts to business leaders. It’s about ensuring everyone understands data and has access to the information they need. When everyone’s on board, the whole company benefits from diverse insights and better decisions. Join us to explore: - What data literacy really means and why it’s crucial. - How to make it work for your organization. - Engaging all skill levels in the data journey. - Key reasons why data literacy is essential.

SQL 2025, SSMS 22 and Fabric. And they mirrored happily ever after?

SQL Server 2025 and Fabric offer the option to directly mirror your data from the database into Microsoft Fabric. This offloads the analytics from your on-premises environment to the cloud. Let me show you how this works, what caveats there are and how to setup security.

Previous Sessions

Infra as code, control it from the tower.

This session covers deploying an Azure data solution with Infrastructure as Code with emphasis on security but also ease of maintenance. Besides slides it also offers a demo and the code is on offer for download to give you, the delegate, a head start.

Load Testing Fabric - What is our hold capacity?

This session covers how to test Fabric for larger workloads. The default demo data is usually relatively small whereas a lot of companies process a lot more. This session aims at those use cases where a large dataset needs to be processed. The session goes from data ingestion to data presentation with PowerBI.