Ingest data from 600+ sources into BigQuery with automated schema management
Celigo Data Ingestion can connect Salesforce to Google BigQuery — no custom code, and schema changes handled automatically. Most teams pulling data into a warehouse maintain a separate hand-built flow for every object, sometimes dozens, sometimes hundreds. The moment a source changes its schema — even a renamed field — that flow breaks quietly, and nobody notices until the numbers downstream look wrong. In this video, we walk through a common ask: a complete customer picture built from Shopify orders, Salesforce opportunities, and NetSuite financials in one place, synced through Celigo Data Ingestion's new Google BigQuery destination. Here's what Celigo Data Ingestion does: ▸ Detects schema drift automatically, so a renamed or added source field no longer breaks the sync ▸ Syncs hundreds of objects continuously and at scale, straight into the data warehouse ▸ Connects a source like Salesforce and a destination like BigQuery in a few clicks ▸ Runs reverse ETL to push a calculated score, like churn risk, straight back into Salesforce or HubSpot ▸ Ships with 600+ available sources, automated schema management, and historical backfills built in ▸ Runs on Celigo's existing platform alongside integration, EDI, API management, and agents — not as a separate tool CHAPTERS 00:00 Why hand-built flows silently break when a source changes its schema 01:30 Introducing Celigo Data Ingestion — one schema-adaptive pipeline 02:00 Example: unifying Shopify, Salesforce, and NetSuite data in one sync 03:15 Reverse ETL: pushing enriched scores back into Salesforce and HubSpot 04:20 New: Google BigQuery destination for Celigo Data Ingestion 04:50 Live walkthrough: connecting Salesforce as a source, BigQuery as a destination One pipeline that adapts when your source data does — set up once, with nothing to maintain. 👉 See it in action: https://www.celigo.com/request-a-demo/ #Celigo #iPaaS #DataIngestion #IntegrationPlatform #Salesforce #NetSuite #Shopify #BigQuery #ReverseETL #DataWarehouseAutomation