Many businesses want to benefit from the Google BigQuery's ability to quickly perform complex analytical queries over petabytes of data, and need to load their data from BigCommerce 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 BigCommerce and Google BigQuery connections
Select BigCommerce objects to copy to Google BigQuery
Optionally specify schedule to update data in Google BigQuery with fresh data from BigCommerce automatically
You don't need to prepare the Google BigQuery database - Skyvia creates the tables, corresponding to the BigCommerce objects, in the data warehouse automatically.
With Skyvia you can extract and load all the data from a BigCommerce object or disable loading for some BigCommerce object fields. You can also configure filters for data to replicate.
Copying data from BigCommerce to Google BigQuery is just a part of the problem. Real-time analytics require data in Google BigQuery to be constantly up-to-date with BigCommerce. Skyvia’s Replication Tool will painlessly ensure you always have the most current data from BigCommerce in Google BigQuery for inclusion in your processes. Thus, you can feel secure in your ability to make better decisions faster.
After the first replication of all the BigCommerce data, subsequent replications update the Google BigQuery data incrementally with refreshes from BigCommerce, so all you need is to schedule replication to run as often, as your situation requires. You can schedule your replication to run up to once every few minutes, so your Google BigQuery will always be up-to-date. All of this can be performed completely automatically with no user intervention.
Replication won't copy all the data every time. Instead it will perform incremental updates. Skyvia intelligently adds only records which are new, edits only records which have changed and remove the deleted records.