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