An easy way to transform/clean your data using a Notebook in Microsoft Fabric
In this blog post I am going to show you an easy way to clean your data (which is often fixing data issues or mis-spelt data) using the new feature Launch Data Wranger using DataFrames I had previously blogged about using Pandas data frames but this required extra steps and details, if you are interested in that blog post you…
How to create and use keys (A work around for Primary Keys) in Fabric data warehouses
When I started looking into using the data warehouses feature in Fabric, I did see that there were limitations on Primary Key columns. Below is my blog post on how I still use keys in my data warehouse, instead of using GUID’s which to me are long and hard to use. In my example I am going to create a…
Part 4 – Creating a Power BI dataset and report using DirectLake
In the final part of my series, I am going to be creating the Power BI DirectLake dataset and report from my tables that I had previously loaded into the lakehouse. In this series I am going to show you all the steps I did to have the successful outcome I had with my client where I created the dataset…
Did you know that there is an easy way to shape your data in Fabric Notebooks using Data Wrangler?
I was going through my twitter feed and I came across this tweet where they spoke about the Data Wrangler Calling all #Python users! Have you tried Data Wrangler in #MicrosoftFabric? I thought I would give this a try and that was the idea for my blog post. I honestly had no idea that firstly was this possible, but second…
Using Power BI DirectLake in Microsoft Fabric
I am super excited to release this blog post and I cannot wait to start using Microsoft Fabric and all the different components. The goal of my blog post is to look at how I could use Microsoft Fabric from a Power BI developers point of view. Microsoft Fabric is a new all in one platform which includes Power BI….