Live Coding - From Kafka Streams to REST APIs in minutes

An in-depth session on turning Kafka streams into analytics REST APIs to power your application. We'll demonstrate how to persist Kafka streaming data into a hosted OLAP data table; filter, aggregate, and enrich with SQL; and publish your queries as low-latency, dynamic REST APIs in just a few minutes.

This is also useful if you want to better understand when you should use Tinybird vs ksqldb, and vice versa.

01:57 Why Kafka isn’t great for analytics out of the box
05:10 What we’re going to build in this session
10:35 Creating Tinybird Data Sources from Kafka topics
16:40 Writing SQL queries to explore the Kafka data
25:35 Adding query parameters to the SQL
36:48 Publishing the queries as HTTP endpoints
44:24 Using materialized views for real-time, aggregated rollups
58:09 Creating observability APIs with Tinybird Service Data Sources