Real-time analytics with BigQuery

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.

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When

Mar 8, 2023 17:00

GMT

Duration

1 hour

Can't make it? You can still register, and we'll send the recording as soon as we finish.

Who

Alasdair Brown

DevRel Lead

David Margulies

Sales Engineer

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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

Discover the power of Tinybird

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Real-time analytics with BigQuery

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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