4 posts — Azure Synapse is an enterprise analytics service that accelerates time to insight across data warehouses and big data systems. Azure Synapse brings together the best of SQL technologies used in enterprise data warehousing, Spark technologies used for big data, Data Explorer for log and time series analytics, Pipelines for data integration and ETL/ELT, and deep integration with other Azure services such as Power BI, CosmosDB, and AzureML.
Fabric currently lacks the capability to call Synapse pipelines, which prevents Fabric from joining forces with your existing Synapse investment. However, Synapse pipelines can be triggered via the REST API, and with the recent Service Principal support in Fabric, we can do that with AAD auth.
Although there are many good resources online explaining how to start using Microsoft Fabric, there is a lack of guidance on adopting Fabric if you already invested in Synapse Analytics. Nothing prevents you from using Synapse Analytics and Fabric together.
Microsoft Fabric might be an upgrade to the Power BI game, but how do you move forward when you already have a massive investment in a data platform on your Azure cloud?
Fabric differs significantly from more traditional data platforms like Synapse Analytics and Databricks. It gives it ease of use, but it also takes away some features away. In this article, we’ll be talking about those differences, and when to use Fabric, when to avoid it.
Design awesome data platforms using Microsoft Fabric
