Automatic Schema Creation
You don’t need to prepare the Google BigQuery database — Skyvia creates the tables, corresponding to the Iterable objects, in the data warehouse automatically.
Many businesses want to benefit from the Google BigQuery ability to quickly perform complex analytical queries over petabytes of data, and need to load their data from Iterable and other applications to the Google BigQuery service for centralized storing and data analysis. Skyvia is the perfect tool for secure replication to a data warehouse, as it loads data much faster than standard ETL tools and allows you to configure the replication in a few simple steps:
Create Iterable and Google BigQuery connections.
Select Iterable objects to copy to Google BigQuery.
Optionally specify schedule to update data in Google BigQuery with recent data from Iterable automatically.
You don’t need to prepare the Google BigQuery database — Skyvia creates the tables, corresponding to the Iterable objects, in the data warehouse automatically.
With Skyvia you can extract and load all the data from a Iterable object or disable loading for some Iterable object fields. You can also configure filters for data to replicate.
Skyvia not just copies Iterable data to Google BigQuery once, it can keep your Google BigQuery database up-to-date with Iterable 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 BigQuery with a granular, per-record data insertion and error logging in case of any errors.
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 Iterable and Google BigQuery with minimal effort and in only a few clicks!