Sep 23–26, 2019

Schedule: Streaming and IoT sessions

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9:00am12:30pm Tuesday, September 24, 2019
Location: 1E 09
Secondary topics:  Cloud Platforms and SaaS, Data, Analytics, and AI Architecture, Streaming and IoT, Temporal data and time-series analytics
Arun Kejariwal (Facebook), Karthik Ramasamy (Streamlio)
In this tutorial, we shall walk the audience through the landscape of streaming systems and overview the inception and growth of the serverless paradigm. Next, we shall present a deep dive of Apache Pulsar which provides native serverless support in the form of Pulsar functions and paint a bird’s eye view of the application domains where Pulsar functions can be leveraged. Read more.
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9:00am12:30pm Tuesday, September 24, 2019
Location: 1E 11
Secondary topics:  Deep dive into specific tools, platforms, or frameworks, Streaming and IoT
Purnima Reddy Kuchikulla (Cloudera), Timothy Spann (Cloudera), Abdelkrim Hadjidj (Cloudera)
Too many edge devices and agents. How does one control and manage them. How do we have handle the difficulty in collecting real-time data and most importantly, the trouble with updating specific set of agents with edge applications. Get your hands dirty with Cloudera Edge Management that addresses these challenges with ease. Read more.
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1:30pm5:00pm Tuesday, September 24, 2019
Location: 1E 14
Secondary topics:  Deep dive into specific tools, platforms, or frameworks, Streaming and IoT
Purnima Reddy Kuchikulla (Cloudera), Dan Chaffelson (Cloudera)
Kafka is omnipresent and is the backbone of not only streaming analytics applications but data lakes as well. The challenge is understanding what is going on overall in the Kafka cluster including performance, issues and message flows. This session gives a hands on experience to visualize their entire Kafka environment end-to-end and simplifies Kafka operations via SMM. Read more.
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2:05pm2:45pm Wednesday, September 25, 2019
Location: 1A 15/16
Secondary topics:  Deep dive into specific tools, platforms, or frameworks, Streaming and IoT
Stephan Ewen (Ververica), Aljoscha Krettek (data Artisans)
The talk discusses how stream processing is becoming a "grand unifying paradigm" for data processing and the newest developments in Apache Flink to support this trend: New cross-batch-streaming Machine Learning algorithms, State-of-the-art batch performance, and new building blocks for data-driven applications and application consistency. Read more.
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4:35pm5:15pm Wednesday, September 25, 2019
Location: 1A 15/16
Secondary topics:  Cloud Platforms and SaaS, Data Integration and Data Processing, Media and Advertising, Streaming and IoT
James Terwilliger (Microsoft Corporation), Badrish Chandramouli (Microsoft Research), Jonathan Goldstein (Microsoft Research)
Trill has been open-sourced, making the streaming engine behind services like the multi-billion-dollar Bing Ads platform available for all to use and extend. We give a brief history of streaming data at Microsoft and lessons learned. We then demonstrate how its API can power complex application logic, and the performance that gives the engine its name: a trillion events per day per node. Read more.
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11:20am12:00pm Thursday, September 26, 2019
Location: 1A 21/22
Secondary topics:  Streaming and IoT, Temporal data and time-series analytics
Stavros Kontopoulos (Lightbend), Debasish Ghosh (Lightbend )
In this talk, we discuss online machine learning algorithm choices for streaming applications. We motive the discussion with resource constrained use cases like IoT and personalization. We cover Hoeffding Adaptive Trees, classic sketch data structures, and drift detection algorithms, all the way from implementation to production deployment, describing the pros and cons of using each of them. Read more.
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2:05pm2:45pm Thursday, September 26, 2019
Location: 1A 15/16
Secondary topics:  Data Integration and Data Processing, Data, Analytics, and AI Architecture, Retail and e-commerce, Streaming and IoT
Karthik Ramasamy (Streamlio), Anand Madhavan (Narvar)
Narvar provides next generation post transaction experience for over 500+ retailers. This talk explores the journey of how Narvar moving away from using a slew of technologies for their platform and consolidating their use cases using Apache Pulsar. Read more.
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3:45pm4:25pm Thursday, September 26, 2019
Location: 1A 15/16
Secondary topics:  Data Integration and Data Processing, Data, Analytics, and AI Architecture, Streaming and IoT, Telecom
Jonghyok Lee (SK Telecom), Chon Yong Lee (SK Telecom)
Architecture and lessons learned from development of T-CORE, SK Telecom’s monitoring and service analytics platform, which collects system and application data from several thousand servers and applications and provides 3D visualized real-time status of the whole network and services for the operators and analytics platform for data scientists, engineers and developers. Read more.

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