There are some differences and secrets between the UI of a SQL Endpoint and the UI of a Lakehouse. I believe the lakehouse UI was changed recently, otherwise you can blame me for being distracted to this level. Let’s analyze the differences and pending points between these UI’s. SQL Endpoints When using a SQL Endpoint, … Read more
Microsoft Fabric was first announced during Microsoft BUILD. Since then, I’m publishing content about Microsoft Fabric, creating an interesting sequence of content. In this blog, I’m summarizing the content I published about Fabric, helping you to navigate on this content. Main Articles As you may have noticed, there is one article about concepts, one about … Read more
Microsoft Fabric storage uses OneLake and Delta Tables, the core storage of all Fabric objects, as explained in my introduction to Microsoft Fabric. Either if you use lakehouses, data warehouses, or even datasets, all the data is stored in the OneLake. OneLake uses Delta Tables as storage. In this way, we need to be aware … Read more
When Microsoft Fabric was born, the only method to convert files to tables was using notebooks. Nowadays we have an easy-to-use UI feature for the conversion. As I explained on the article about lakehouse and ETL, there are some scenarios where we still need to use notebooks for the conversion. One of these scenarios is … Read more
The Data Wrangler is as interesting as hidden inside Microsoft Fabric. It’s not easy to find and activate it, but it is worth the trouble. Before digging into the Data Wrangler, let’s analyze the data features in the query environment. Data Features in Query Environment The new query environment, which allow us to make data … Read more
Data Lakes are becoming more usual every day and the need for tools to query them also increases. While writing about querying a data lake using Synapse, I stumbled upon a Power BI feature I didn’t know was there. When reading from a data lake, each folder is like a table. We store in the … Read more
Once upon a time, we got the Data Warehouse concept. A concept as great as difficult to implement. The definition of this concept may surprise you nowadays: the Data Warehouse is a collection of structured and unstructured data. The structured data is what we usually know, but what happened to the unstructured data on this … Read more
