After an almost full week of travelling, learning and meeting people, time for a short write up. Hello Stockholm! Or even hello Schiphol. When I walked up to the gate, it took the best part of a minute for the first Microsoft person to walk up to me and ask if I was on my … Continue reading Experiencing Microsoft Fabric Conference in Stockholm
Very recently, Microsoft announced the public preview of the Microsoft Fabric Copy Job. This blog will give an explanation of what a Copy Job is, how to create one and why it can be an enormous help in speeding up your data ingestion. What it is The copy job is essentially an abstraction of a … Continue reading Microsoft Fabric Copy Job: Simplifying Data Ingestion
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
Blog Alert! Arun Ulag shared some neat new developments on #MicrosoftFabric at the keynote. Here are my first thoughts on them! #mvpbuzz #FabCon
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
Every now and then a special event comes up where you can’t help but think “I really, really want to be there”. This happened to me with Data Moshpit in Berlin and again with Fabric February. When the first information dropped, I was waiting for both the call for speakers and the ticket sales. There … Continue reading Speaking experiences at Fabric February, Oslo
Today I took the Implementing Analytics Solutions Using Microsoft Fabric exam and in this blogpost I'll write about my experiences and feelings. There are other blogposts out there for you to read and compare experiences. Remember that all of these are personal views on the exams and opinions can differ. Preparation There's no way you'll … Continue reading Microsoft DP-600 exam (beta) experiences
