Data security is the most important part of our job as data engineers and data architects. There are very few use cases where people need to see all the data in full detail. I know, customers take a different view on this but in reality, do they really need every single detail? No, they do … Continue reading DP-700 training: data masking
The best place to store your data is in a SQL Server database that no living being can ever access. The end. No, I'm kidding, of course. But there's an atom of truth in this joke. Because for years we, in the structured data industry, have always been convinced that a database is the best … Continue reading DP-700 Training: Choose an appropriate data store
This weekend, attending Data Saturday Denmark, I joined a session presented by Benni de Jagere. Benni works for Microsoft as a member of the CAT team but is also very active in the community as an organiser and speaker. In general, when Benni starts speaking and sharing knowledge, it's well worth it to listen and … Continue reading Mastering your Fabric Capacity Metrics App
This blog won't be very long and will describe a connection issue I experienced with a customer including the solution and some context why this solution worked. I hope this saves you time when dealing with the same error. Issue The customer can connect to the Azure Sql database with Sql Server Management Studio (SSMS) … Continue reading Fixing Azure SQL Client Connection Timeouts
Welcome back! In part one (click here), I've introduced Azure Sql Copilot. In this second part, I'm going to take you along in the Azure portal experience. I'll write about my personal experiences, opinions and the different angles you can use to connect with your database. Let's dig in! For this first part, I’m putting … Continue reading Sql Server and Copilot. What the query it this? Part 2, portal experience
When you open Fabric, the first thing you need to do is choose a so-called workspace. This serves as a container for all your Fabric items. You can have one or more workspaces and the design is entirely up to you. From one workspace to rule them all to one workspace for each set of … Continue reading Understanding Cross Workspace Data Transfer in Microsoft Fabric
This blog will be a quite short one compared to the other blogs as it's more of an overview to show you the capacity of Fabric ingesting CSV files in their native format into a Lakehouse and ingesting SQL data into a table structure inside the Lakehouse. Simple, straightforward stuff without any form of modification. … Continue reading Fabric Lakehouse Data Ingestion: CSV vs. SQL Scenarios
I just can't seem to stop doing this, checking the limits of Microsoft Fabric. In this instalment I'll try and find some limits on the data warehouse experience and compare them with the Lakehouse experience. The data warehouse is a bit different compared to the Lakehouse, so I'll be digging into that one first. Then … Continue reading Testing Microsoft Fabric Capacity: Data Warehouse vs Lakehouse Performance
In my previous blog on Fabric and loadtesting, I ended with not really knowing how PowerBI would respond to all these rows. After creating and presenting a session on this subject, it's time to dig into this part of Fabric as well. There were questions and I made promises. So here goes! This blog will … Continue reading Loadtesting Fabric part 2, bringing Pain to Powerbi
It's the end of the year and we've all been bombarded with lists. From november on, things like Spotify wrapped started appearing (even though the year hadn't ended yet). It feels like the last month doesn't count anymore, even though there's a lot that can be done in december. That's why I'm waiting until the … Continue reading 2023 in review, 2024 in preview
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