Mar 15–18, 2020

Schedule: Streaming and IoT sessions

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11:00am11:40am Tuesday, March 17, 2020
Location: 230 A
Navinder Pal Singh Brar (Walmart Labs)
One of the major use cases for stream processing is real-time fraud detection. E-commerce is one of the domains which has to deal with frauds on a wider scale as more and more companies are trying to provide customers with incentives such as free shipping by moving on to subscription-based models. I will be discussing the architecture, problems faced and learnings from building such a pipeline. Read more.
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11:50am12:30pm Tuesday, March 17, 2020
Location: 230 A
Secondary topics:  Streaming and IoT
Teresa Tung (Accenture Labs), William Gatehouse (Accenture)
The Digital Twin presents a problem of data and models at scale—how do we mobilize IT and OT data, AI and engineering models that work across lines of business and even across partners. This talk shares our experience implementing Digital Twins use cases that combine IoT, AI models, engineering models and domain context. Read more.
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2:35pm3:15pm Wednesday, March 18, 2020
Location: LL21 C
Micah Wylde (Lyft)
At Lyft, we process millions of events per second in real-time to compute prices, balance marketplace dynamics, detect fraud, among many other use cases. This talk will cover how we are using Kubernetes, along with Flink, Beam, and Kafka, to enable service engineers and data scientists to easily build real-time data applications. Read more.
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4:15pm4:55pm Wednesday, March 18, 2020
Location: 230 A
Sijie Guo (StreamNative), Yong Zhang (StreamNative)
This presentation deep dives into the details of Pulsar transaction and how it can be used in Pulsar Functions and other processing engines to achieve transactional event streaming. Read more.

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