For a change, this won't be a technical blog but more of personal one. I'll write about my experiences writing blogs, presenting sessions and the effect it has had on my career. How it all started When I started in my current job in September 2011, I had no idea about anything community, SQL Saturdays … Continue reading Blogging and Community: A Journey of Self-Improvement and Learning
Welcome back to this mini series on Azure Sql Server with Copilot. In the previous posts I wrote about a general introduction of this toolset (click here for more) and had some fun in the Azure Portal getting stuff done (click here for more). In this third part, I'm going in for the data and … Continue reading Sql Server and Copilot. What the query it this? Part 3, query editor
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
Welcome to a series of three blogs where I'm going to explore Azure Sql Copilot. This series will portray a lot of my experiences trying out Azure Sql Copilot. The first blog will feature a short introduction and an introduction on Copilot security. The following blogs will focus on a lot of testing. Remember, AI … Continue reading Sql Server and Copilot. What the query it this? Part 1, introduction
I had an interesting morning trying to connect Dynamics to a Data lake. As you might know, there was a feature where Dynamics would create a Data lake for you. This choice will cease to exist quite soon and to offer alternatives, you can create an Azure Synapse Link or Fabric Link. This blog will … Continue reading Creating Azure Synapse Link for Dynamics: Step-by-Step Guide
It's that time of the month again where all of us bloggers (new, senior and everyone in between) get a new topic to write about. This month Louis Davidson asks us to write about what current me would give as advice to past me when I was starting in the data platform world. So let's … Continue reading T-SQL Tuesday #176: one piece of advice you wish past you had.
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
In my previous blogs, I've been hammering Fabric with data from some different angles. Either with the Copy dataflows, notebooks, Pipelines, Data Warehouse SQL scripts or in PowerBI.This time, I'm going to make the dataflow Gen2 work for it's money. As usual, I'm using the F2 capacity as it's the one that should break the … Continue reading Microsoft Fabric Dataflow Gen2: In-depth Performance Evaluation and Capacity Insights
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
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