Building a real-time API speed layer on top of Snowflake

Snowflake is a powerful data warehouse for building long-running analytical queries that power strategic business intelligence. But it's not well-suited out of the box for real-time analytics. Come join this live coding session to learn how to use Tinybird to build the low-latency, high-concurrency APIs you need to power your next real-time analytics application.

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When

Apr 26, 2023 16:00

Duration

1 hour

Who

Joe Karlsson

Developer Advocate

Alejandro Martín

Product Manager

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In this live coding session, you'll learn how to:

Connect your Snowflake instance to Tinybird using the Tinybird Snowflake Connector
Sync tables from Snowflake into Tinybird Data Sources on a schedule
Define analytics metrics in Tinybird using 100% pure SQL
Publish your metrics as low-latency, high-concurrency REST APIs to power your real-time UX.

Discover the power of Tinybird

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Building a real-time API speed layer on top of Snowflake

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Snowflake is a powerful data warehouse for building long-running analytical queries that power strategic business intelligence. But it's not well-suited out of the box for real-time analytics. Come join this live coding session to learn how to use Tinybird to build the low-latency, high-concurrency APIs you need to power your next real-time analytics application.

In this live coding session, you'll learn how to:

Connect your Snowflake instance to Tinybird using the Tinybird Snowflake Connector
Sync tables from Snowflake into Tinybird Data Sources on a schedule
Define analytics metrics in Tinybird using 100% pure SQL
Publish your metrics as low-latency, high-concurrency REST APIs to power your real-time UX.