Mar 15–18, 2020

Schedule: Streaming and IoT sessions

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9:00am12:30pm Monday, March 16, 2020
Location: LL21B
David Anderson (Ververica), Seth Wiesman (Ververica)
David Anderson and Seth Wiesman demonstrate how building and managing scalable, stateful, event-driven applications can be easier and more straightforward than you might expect. You'll go hands-on to implement a ride-sharing application together. Read more.
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11:50am12:30pm Tuesday, March 17, 2020
Location: LL20D
Teresa Tung (Accenture), William Gatehouse (Accenture)
The digital twin presents a problem of data and models at scale—how to mobilize IT and OT data, AI, and engineering models that work across lines of business and even across partners. Teresa Tung and William Gatehouse share their experience of implementing digital twins use cases that combine IoT, AI models, engineering models, and domain context. Read more.
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11:50am12:30pm Tuesday, March 17, 2020
Location: LL21B
Mark Grover (Lyft), Dev Tagare (Lyft)
Mark Grover and Dev Tagare offer you a glimpse at the end-to-end data architecture Lyft uses to reduce data lag appearing in its analytical systems from 24+ hours to under 5 minutes. You'll learn the what and why of tech choices, monitoring, and best practices. They outline the use cases Lyft has enabled, especially in ML model performance and evaluation. Read more.
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1:45pm2:25pm Tuesday, March 17, 2020
Location: LL21 C
Minal Mishra (Netflix)
Minal Mishra walks you through Netflix's video player release process, the challenges with deriving time series metrics from a firehose of events, and some of the oddities in running analysis on real-time metrics. Read more.
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4:15pm4:55pm Tuesday, March 17, 2020
Location: Expo Hall
Dave Nielsen (Redis Labs)
Redis Streams enables you to collect data in a time series format while matching the data processing rate of your continuous application. Apache Spark’s Structured Streaming API enables real-time decision making for your continuous data. Dave Nielsen demonstrates how to integrate open source Redis with Apache Spark’s Structured Streaming API using the Spark-Redis library. Read more.
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11:00am11:40am Wednesday, March 18, 2020
Location: LL21A
Paige Roberts (Vertica)
What works in production is the only technology criterion that matters. Companies with successful high-scale production IoT analytics programs like Philips, Anritsu, and OptimalPlus show remarkable similarities. IoT at production scale requires certain technology choices. Paige Roberts drills into the architectures of successful production implementations to identify what works and what doesn’t. Read more.
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11:50am12:30pm Wednesday, March 18, 2020
Location: LL21B
Jeff Chao (Netflix)
Netflix has experienced an unprecedented global increase in membership over the last several years. Production outages today have greater impact in less time than years before. Jeff Chao details the open-sourced Mantis, which allows Netflix to continue providing great experiences for its members, enabling it to get real-time, granular, cost-effective operational insights. Read more.
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1:45pm2:25pm Wednesday, March 18, 2020
Location: LL20A
Denise Gosnell (DataStax)
Self-organizing networks rely on sensor communication and a centralized mechanism, like a cell tower, for transmitting the network's status. Denise Gosnell walks you through what happens if the tower goes down and how a graph data structure gets involved in the network's healing process. You'll see graphs in this dynamic network and how path information helps sensors come back online. Read more.

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