Author: Laura GB

Using a combination of Notebook and Data Wrangler means we can transform data and write to table writing very little code by hand.

As part of Microsoft Fabric, we have new Gen2 Dataflows and they have a new ability. A Gen2 Dataflow entity can have a destination, eg a table

In a previous post we uploaded a csv file into the Lakehouse. In this post we take the next step to create table from csv file loaded.

The simplest way to add data to a Lakehouse is upload a csv file or a folder of csv files. These can then be ingested easily into a table.

Lakehouses are one of the main building blocks in Microsoft Fabric. A lakehouse allows you to store structured and unstructured data in a single location. In this post we are going to create an empty one. Future posts will populate it. YouTube Version Empty Workspace with a Fabric Capacity We start in an empty workspace that has a capacity assigned...