Automatic Schema Creation
You don’t need to prepare the Amazon Aurora database — Skyvia creates the tables, corresponding to the RepairShopr objects, in the data warehouse automatically.
Copying RepairShopr data to Amazon Aurora cannot be simpler. You just need to perform the following three simple steps.
Specify necessary connection parameters for RepairShopr.
Specify necessary connection parameters for Amazon Aurora.
Select RepairShopr objects to replicate.
You don’t need to prepare the Amazon Aurora database — Skyvia creates the tables, corresponding to the RepairShopr objects, in the data warehouse automatically.
With Skyvia you can extract and load all the data from a RepairShopr object or disable loading for some RepairShopr object fields. You can also configure filters for data to replicate.
Skyvia not just copies RepairShopr data to Amazon Aurora once, it can keep your Amazon Aurora database up-to-date with RepairShopr automatically, ensuring you always have fresh data for data analysis without any user intervention.
Skyvia combines a high-performance optimized batch data loading into Amazon Aurora 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 RepairShopr to Amazon Aurora, you may use Skyvia’s powerful ETL functionality for RepairShopr and Amazon Aurora integration. Skyvia’s data import tools will correctly extract RepairShopr data, transform it, and load to Amazon Aurora when Amazon Aurora tables have different structure than RepairShopr 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 RepairShopr and Amazon Aurora with minimal effort and in only a few clicks!