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