Dataflows help with ingesting and transforming data. With the introduction of dataflow scale-out with the SQL DW compute, we are able to transform your data at scale. However, to do this at scale, your data needs to be ingested first. With the introduction of Fast copy, you can ingest terabytes of data with the easy … Continue reading “Fast copy in Dataflows Gen2”
With the new ‘browse Azure’ functionality in Get Data, you can easily browse all your Azure resources and automatically connect to them, without going through manually setting up a connection, saving you a lot of time. Using the regular path in Get Data to create a new connection, you always need to fill in your … Continue reading “Browse Azure resources with Get Data”
When you have a Lakehouse or Warehouse and you want to load data into it, you can use Dataflow Gen2 as an easy, low-code way for landing your data with the right shape. You can always create a stand-alone Dataflow Gen2 and use the data destinations to load your data in any Fabric Lakehouse or … Continue reading “Updates to default data destination behavior in Dataflow Gen2”
We are very excited to announce a lot of new improvements to data destinations in Dataflows Gen2. Here is an overview of the new improvements and how to get started. After you have cleaned and prepared your data with dataflows gen 2, you want to land your data into a destination. This is possible with … Continue reading “Dataflows Gen2 data destinations and managed settings”
Today I am very excited to announce that Azure service principal has been added as an authentication type for a set of data sources that can be used in Dataset, Dataflow, Dataflow Gen2 and Datamart. Azure service principal is a security identity that is application based and can be assigned permissions to access your data … Continue reading “Service principal support to connect to data in Dataflow, Datamart, Dataset and Dataflow Gen 2”
