Build User-Facing Analytics with Kafka, Tinybird, and React

SaaS users now expect to see analytics in the product. Those analytics must be fast, beautiful, and built on the freshest data. In this free training, you'll learn how to build user-facing analytics into an application using Kafka, Tinybird, and React.

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When

Apr 16, 2024 12:00

Duration

1 hr

Who

Cameron Archer

Content Lead

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In this free technical training, you'll learn how to:

Capture event streams from Kafka (Redpanda Serverless) and write them into a real-time database (ClickHouse)
Write complex analytical queries to filter, aggregate, and join data from Kafka and other sources
Develop low-latency, high-concurrency data APIs to power user-facing dashboards
Integrate analytics APIs into a React app using beautiful Tremor chart components
Optimize SQL queries using Materialized Views to improve latency and minimize data processing costs

Discover the power of Tinybird

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Build User-Facing Analytics with Kafka, Tinybird, and React

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SaaS users now expect to see analytics in the product. Those analytics must be fast, beautiful, and built on the freshest data. In this free training, you'll learn how to build user-facing analytics into an application using Kafka, Tinybird, and React.

In this free technical training, you'll learn how to:

Capture event streams from Kafka (Redpanda Serverless) and write them into a real-time database (ClickHouse)
Write complex analytical queries to filter, aggregate, and join data from Kafka and other sources
Develop low-latency, high-concurrency data APIs to power user-facing dashboards
Integrate analytics APIs into a React app using beautiful Tremor chart components
Optimize SQL queries using Materialized Views to improve latency and minimize data processing costs