Kafka and Stream Processing, Taking Analytics Real-time

Kafka and Stream Processing, Taking Analytics Real-time

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Kafka Summit 2016 | Users Track

Do you think that analytics are run on stored data sets? Think again, the combination of Apache Kafka and Stream Processing enables analytics on real-time data streams.

First, we give a brief overview of stream processing and how it differs from the request response model of analytics on stored data. Next, we cover the characteristics of Kafka which make it such a good fit for Stream processing and why they matter. Finally, we show a number of use cases which highlight how stream processing is being used to do real-time analytics at scale with very low latency.

Speaker:

 Mike Spicer, Senior Technical Staff Member and Chief Architect, IBM and IBM Streams

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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