Automatic Schema Creation
You don’t need to prepare the Google Cloud SQL SQL Server database — Skyvia creates the tables, corresponding to the Dynamics 365 objects, in the data warehouse automatically.
Copying Dynamics 365 data to Google Cloud SQL SQL Server cannot be simpler. You just need to perform the following three simple steps.
Specify necessary connection parameters for Dynamics 365.
Specify necessary connection parameters for Google Cloud SQL SQL Server.
Select Dynamics 365 objects to replicate.
You don’t need to prepare the Google Cloud SQL SQL Server database — Skyvia creates the tables, corresponding to the Dynamics 365 objects, in the data warehouse automatically.
With Skyvia you can extract and load all the data from a Dynamics 365 object or disable loading for some Dynamics 365 object fields. You can also configure filters for data to replicate.
Skyvia not just copies Dynamics 365 data to Google Cloud SQL SQL Server once, it can keep your Google Cloud SQL SQL Server database up-to-date with Dynamics 365 automatically, ensuring you always have fresh data for data analysis without any user intervention.
Skyvia combines a high-performance optimized batch data loading into Google Cloud SQL SQL Server with a granular, per-record data insertion and error logging in case of any errors.
If you need more than just to copy data from Dynamics 365 to Google Cloud SQL SQL Server, you may use Skyvia’s powerful ETL functionality for Dynamics 365 and Google Cloud SQL SQL Server integration. Skyvia’s data import tools will correctly extract Dynamics 365 data, transform it, and load to Google Cloud SQL SQL Server when Google Cloud SQL SQL Server tables have different structure than Dynamics 365 objects. Moreover, Skyvia Data Import allows loading data in any direction, supporting Reverse ETL scenario.
Use flexible scheduling settings to automate replication
You can find detailed logs for each execution in the package Run History.
Enable email notifications and always know if anything goes wrong.
Integrate Dynamics 365 and Google Cloud SQL SQL Server with minimal effort and in only a few clicks!