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2024
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03
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13
T
16:00
:00Z
See Tinybird in action

Build a Real-Time Dashboard over Kafka

Data consumers, including both internal stakeholders and product users, demand real-time data visualizations. In this free training, you'll learn how to give your customers an amazing data analytics UX. Join us and learn how to build real-time, user-facing analytics dashboards over streaming data from Kafka.

Watch the stream now

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When
Mar 13, 2024 16:00
 ET
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 (Confluent Cloud) and write them into a real-time database (ClickHouse)
  • Sync dimensional data from a data warehouse (BigQuery) into the same real-time database
  • Write complex analytical queries to filter, aggregate, and join data from Kafka and BigQuery
  • Develop low-latency, high-concurrency data APIs to power user-facing dashboards
  • Integrate data APIs with various frontend systems, including Grafana and Next.js (React)
  • Optimize SQL queries using Materialized Views to improve latency and minimize data processing costs

Discover the power of Tinybird

Build a Real-Time Dashboard over Kafka

LIVE NOW
Data consumers, including both internal stakeholders and product users, demand real-time data visualizations. In this free training, you'll learn how to give your customers an amazing data analytics UX. Join us and learn how to build real-time, user-facing analytics dashboards over streaming data from Kafka.

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

  • Capture event streams from Kafka (Confluent Cloud) and write them into a real-time database (ClickHouse)
  • Sync dimensional data from a data warehouse (BigQuery) into the same real-time database
  • Write complex analytical queries to filter, aggregate, and join data from Kafka and BigQuery
  • Develop low-latency, high-concurrency data APIs to power user-facing dashboards
  • Integrate data APIs with various frontend systems, including Grafana and Next.js (React)
  • Optimize SQL queries using Materialized Views to improve latency and minimize data processing costs
Have questions?
Join us on Slack
Live coding session
When
Mar 13, 2024 16:00
 GMT
Live
Duration
1 hr
Who
Cameron Archer
Content Lead

Past live
coding sessions

April 18, 2024
April 4, 2024

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