Browsed by
Month: January 2023

AWS Data in Dataverse with Virtual Table – Part 1

AWS Data in Dataverse with Virtual Table – Part 1

Be brave, be curious, explore new worlds! That’s why I took a look outside of Microsoft. I’m sure it won’t surprise you, but there are other competitors like Amazon and Google that provide cloud offerings. This is one reason why data integration is so important for modern digital enterprises. For example, users often need information from other systems in their business process to make decisions. For Dataverse it doesn’t matter, where these data exist. That’s because I can use more…

Read More Read More

Business Central in Dataverse with Virtual Tables

Business Central in Dataverse with Virtual Tables

In my session at Dataverse Summit 2022 I also introduced Business Central’s feature, the virtual tables in Dataverse. Virtual tables complement the possibilities such as Data Sync and Connectors to connect both worlds. In my opinion, virtual tables are the best way of integration. Unlike data synchronization, you do not copy the data from one system to another. Furthermore, virtual tables in Dataverse are similar to physical tables in usage and this is a clear advantage in contrast to connectors….

Read More Read More

Transforming Data from a Blob Storage File

Transforming Data from a Blob Storage File

I recently had a Power Automate Flow challenge where I wanted to access and transform my data. Sounds like a simple task, but it took me a while to figure out the solution… My data was generated by Azure Synapse and stored in an Azure Blob Storage. As you can see, each record is stored as JSON in a single row: Furthermore, all records are stored line by line in the whole file. Well, this shouldn’t be so hard to…

Read More Read More