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2023
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03
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08
T
17:00
:00Z
See Tinybird in action

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.

Watch the stream now

Get a calendar invite

When
Mar 8, 2023 17:00
 GMT
Duration
1 hour
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

Real-time analytics with BigQuery

LIVE NOW
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
Have questions?
Join us on Slack
Live coding session
When
Mar 8, 2023 17:00
 GMT
Live
Duration
1 hour
Who
Alasdair Brown
DevRel Lead
David Margulies
Sales Engineer

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