Streaming SQL

Streaming SQL

On-demand recording

Kafka Summit 2016 | Systems Track

Streaming is necessary to handle data rates and latency but SQL is unquestionably the lingua franca of data. Where do the two meet?

Apache Calcite is extending SQL to include streaming, and the Samza, Storm and Flink are projects are each building it into their engines. In this talk, Julian Hyde describes streaming SQL in detail and shows how you can use streaming SQL in your application. He also describes how Calcite’s planner optimizes queries for throughput and latency.

Speakers:

Julian Hyde, Architect, Hortonworks

We use cookies to understand how you use our site and to improve your experience. Click here to learn more or change your cookie settings. By continuing to browse, you agree to our use of cookies.

Agenda

GENERAL SESSIONS
08:00 – 09:00 Registration & Partner Showcase
09:00 – 9:10 Welcome
09:10 – 09:45 Keynote: State of Streaming, what’s next
09:45 – 10:15 Keynote: Customer – Euronext ??
10:15 – 10:45 Partner Session
10:45 – 11:15 Coffee Break & Sponsor Showcase
11:15 – 11:45 Keynote: Customer – Criteo ??
11:45 – 12:15 Partner Session
12:15 – 13:00
Lunch
13:00 – 14:00
14:00 – 14:30 CONFLUENT Monitor Kafka Like a Pro with C3
14:30 – 15:00 Customer Use Case – Credit Mutuel ??
15:00 – 15:45 CONFLUENT KSQL in Production
15:45 – 16:15 Coffee Break & Sponsor Showcase
16:15 – 16:35 CONFLUENT : Global Kafka / Kubernetes
16:35 – 16:55 Partner Session
16:55 – 17:15 Customer Case : BNP Secu ?
17:15 – 19:00 Topic Corners & Get Together