Apache Kafka is the most popular platform for streaming data. In this live coding session, you'll learn how to use Kafka and Tinybird to quickly build flexible and scalable analytics pipelines that can be easily published as REST APIs in minutes. Come learn how to add streaming analytics to your data pipeline and productize your Kafka streams with Tinybird.
Apache Kafka is the most popular platform for streaming data. In this live coding session, you'll learn how to use Kafka and Tinybird to quickly build flexible and scalable analytics pipelines that can be easily published as REST APIs in minutes. Come learn how to add streaming analytics to your data pipeline and productize your Kafka streams with Tinybird.
In this live coding session, you'll learn how to:
Connect a Kafka topic to a Tinybird Data Source to persist events data into OLAP storage
Filter, aggregate, and join with SQL to enrich your streams
Publish your SQL queries as low-latency, high-concurrency REST APIs
Add query parameters to your API endpoints
Monitor your API endpoints’ performance & errors
Know when to use Tinybird and ksqldb, separately or in parallel
We use our own cookies on our websites to enhance your experience and analyze our traffic. By clicking “Allow all” or turning an option on in Cookie Preferences, you agree to this, as outlined in our Cookie Policy.