Automatic Schema Creation
You don’t need to prepare the Amazon Aurora database — Skyvia creates the tables, corresponding to the FreshBooks objects, in the data warehouse automatically.
Copying FreshBooks data to Amazon Aurora cannot be simpler. You just need to perform the following three simple steps.
Specify necessary connection parameters for FreshBooks.
Specify necessary connection parameters for Amazon Aurora.
Select FreshBooks objects to replicate.
You don’t need to prepare the Amazon Aurora database — Skyvia creates the tables, corresponding to the FreshBooks objects, in the data warehouse automatically.
With Skyvia you can extract and load all the data from a FreshBooks object or disable loading for some FreshBooks object fields. You can also configure filters for data to replicate.
Skyvia not just copies FreshBooks data to Amazon Aurora once, it can keep your Amazon Aurora database up-to-date with FreshBooks 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 FreshBooks to Amazon Aurora, you may use Skyvia’s powerful ETL functionality for FreshBooks and Amazon Aurora integration. Skyvia’s data import tools will correctly extract FreshBooks data, transform it, and load to Amazon Aurora when Amazon Aurora tables have different structure than FreshBooks 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 FreshBooks and Amazon Aurora with minimal effort and in only a few clicks!