Data Warehouses have come a long way, but they're not built for real-time analytics, and many data teams struggle to make it happen. Using Tinybird you can connect to Google BigQuery to join your data sets with real-time data streams, analyze & transform using SQL, and publish low-latency, high-concurrency HTTP APIs.
Data Warehouses have come a long way, but they're not built for real-time analytics, and many data teams struggle to make it happen. Using Tinybird you can connect to Google BigQuery to join your data sets with real-time data streams, analyze & transform using SQL, and publish low-latency, high-concurrency HTTP APIs.
In this live coding session, you'll learn how to.
Sync tables from BigQuery into Tinybird using the Tinybird BigQuery Connector
Ingest streaming data into Tinybird using the Events API
Join & enrich data from your streams with data from your BigQuery tables
Publish the results of your queries as low-latency HTTP APIs to power an application
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