Incorta + Google BigQuery

Google BigQuery lets you store, analyze, and query massive amounts of data quickly. Incorta makes it easier to get complex source-system data into BigQuery, delivering it in hours rather than days, keeping it current with near real-time lakehouse updates, and providing an open, performant output that accelerates analytics and data science.

This demo walks through the full flow. Connect to a source (here, a MySQL online store), then use the schema wizard to select tables and columns and automatically detect joins in the source system. Run a full load to store the raw data as Delta tables in Google Cloud Storage, add incremental logic so only new data is loaded, and schedule a load plan to refresh every 20 minutes. Then configure BigQuery as a data destination so each schema load is automatically pushed to your BigQuery project.

Finally, see Incorta Data Apps in action. Deploy an Oracle EBS accounts payable data app that ingests and models AP data, then delivers it to BigQuery, where you can analyze days payable outstanding, payment timing, supplier discounts, and problem suppliers. A row-count check confirms the data matches between Incorta and BigQuery.