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KEYNOTE SPEAKERS

Chinmay Soman

Uber

Name

Chinmay Soman

Title
Staff Software Engineer , Uber
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Bio

Chinmay Soman has been working in the distributed systems domain for the past 7+ years. He started out in IBM where he worked on distributed filesystems (NFS) and replication technologies. He then joined the Data Infrastructure team in LinkedIn and worked on Voldemort – an open source distributed key-value store, as well as Apache Samza. He’s currently a Staff Software Engineer in Uber where he leads the Streaming Platform team. This team is responsible for building the pub-sub messaging infrastructure and near real time analytics platform.

Sessions

Keynote: Real Time Analytics in the Real World – Challenges and Lessons at Uber

Monal Daxini

Netflix, Inc.

Name

Monal Daxini

Title
Senior Software Engineer , Netflix, Inc.
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Monal Daxini is a seasoned engineering leader; currently responsible for managing Stream Processing cloud infrastructure for business insights at Netflix. He has worked on Netflix’s Cassandra & Dynamite infrastructure, and was instrumental in developing the first cloud compute infrastructure for encoding Netflix content. He has over 15 years of experience building distributed systems at organizations like Netflix, NFL.com, and Cisco. He holds a Masters in Computer Science, and a Bachelors in Electronics and Telecommunications engineering.

Sessions

Keynote: Stream Processing with Flink at Netflix

FLINK FORWARD SPEAKERS INCLUDE

Tom Kaitchuck

Dell EMC

Name

Tom Kaitchuck

Title
Sr. consulting engineer , Dell EMC
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Tom Kaitchuck is a Sr. consulting engineer at Dell Emc, working on Pravega a new streaming storage system. He has over a decade of experience in streaming technologies, including developing App Engine at Google, and Amazon’s Simple Workflow and Simple Queue Services.  He holds a BS from Valparaiso University.

Sessions

Pravega: Storage Reimagined for Streaming World

Trevor Grant

IBM

Name

Trevor Grant

Title
Open Source Technical Evangelist , IBM
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Trevor Grant is committer on the Apache Mahout project and Open Source Technical Evangelist at IBM. He holds an MS in Applied Math and an MBA from Illinois State University. Trevor is an organizer of the newly formed Chicago Apache Flink Meet Up, and the Chicago Veterans in Big Data Group.

Sessions

Introduction to Online Machine Learning Algorithms

Kenneth Knowles

Google

Name

Kenneth Knowles

Title
Software Engineer , Google
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Bio

Kenn Knowles is a founding PMC member of Apache Beam. Kenn has been working on Google Cloud Dataflow—Google’s Beam backend—since he joined the company. Prior to that, he built backends for startups such as Cityspan, Inkling, and Dimagi. Kenn holds a PhD in programming languages from the University of California, Santa Cruz.

Sessions

Portable stateful big data processing in Apache Beam

James Malone

Google

Name

James Malone

Title
Product Manager , Google
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Bio

I love data because it surrounds us – everything is data. I also love open source software, because it shows what is possible when people come together to solve common problems with technology. While they are awesome on their own, I am passionate about combining the power of open source software with the potential unlimited uses of data. That’s why I joined Google. I am a product manager for Google Cloud Platform and manage Cloud Dataproc and Apache Beam (incubating). I’ve previously spent time hanging out at Disney and Amazon. Beyond Google, love data, dinosaurs, amateur radio, Disneyland, photography, running and Legos.

Sessions

Make the cloud work for you – easy, fast, and low-cost streaming with Apache Flink with Google Cloud Dataproc

Stephan Ewen

data Artisans

Name

Stephan Ewen

Title
CTO , data Artisans
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Stephan Ewen is PMC member of Apache Flink and co-founder and CTO of data Artisans. He believes that stream processing is the next step both for data analysis and for building end to end applications as continuous data flows. Before founding data Artisans, Stephan was leading the development that led to the creation of Apache Flink during his Ph.D. and worked on databases at IBM and Microsoft.

Sessions

Closing Keynote: Convergence of real-time analytics and data-driven applications
 Experiences running Flink at Very Large Scale

Dean Wampler

Lightbend

Name

Dean Wampler

Title
Architect for Big Data Products , Lightbend
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Dean Wampler, Ph.D. (@deanwampler), leads Lightbend’s team for its “Fast Data Platform”, which is built on Flink, Spark, Kafka, Skymind/Deeplearning4J, Mesos, and the Lightbend Reactive Platform. He is the author of several books for O’Reilly, including “Programming Scala, Second Edition”. Dean is a contributor to several open-source projects and he is a speaker at and co-organizer of several industry conferences and Chicago-based user groups.

Sessions

Streaming Deep Learning Scenarios with Flink

Jamie Grier

data Artisans

Name

Jamie Grier

Title
Director of Applications Engineering , data Artisans
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Jamie Grier is Director of Applications Engineering at data Artisans where he’s extremely excited to be able to help others realize the potential of Apache Flink in their own projects. Jamie has been working on stream processing for the last decade at companies such as Twitter, Gnip and Boulder Imaging. This has spanned everything from ultra-high-performance video stream processing to social media analytics.

Sessions

Opening & Announcements
 Apache Flink: The Latest and Greatest

Elizabeth K. Joseph

Mesosphere

Name

Elizabeth K. Joseph

Title
Developer Advocate , Mesosphere
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Elizabeth K. Joseph is a Developer Advocate at Mesosphere focused on DC/OS and Apache Mesos. Previously, she worked for a decade as a Linux Systems Administrator, spending the past four years working on the OpenStack Infrastructure team. She is the author of Common OpenStack Deployments (2016) The Official Ubuntu Book, 8th (2014) and 9th (2016) editions.

Sessions

Flink meet DC/OS – Deploying Flink at Scale

Xiaowei Jiang

Alibaba

Name

Xiaowei Jiang

Title
Director , Alibaba
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Xiaowei Jiang is a Director in Alibaba’s Search division. Previously, he was a tech lead in Messenger, Timeline Infra and Core Infra at Facebook. Before that, he was a Principal Software Engineer for SQL Server Engine at Microsoft.

Sessions

Blink’s Improvements to Flink SQL & TableAPI

Scott Kidder

Mux

Name

Scott Kidder

Title
Software Engineer , Mux
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Scott Kidder is a Software Engineer at Mux in San Francisco where he used Apache Flink to build a real-time anomaly-detection & alerting system for video delivery & playback. Prior to joining Mux, Scott worked at Brightcove on the Zencoder cloud-based video-encoding service where he introduced machine-learning techniques to intelligently scale computing resources in response to changes in load.

Sessions

Building a Real-Time Anomaly-Detection System with Flink @ Mux

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Our previous Flink Forward

A TASTE OF THE FLINK UNIVERSE

Two days of conference. One day of training. More than 350 attendees from all over the globe, over 40 international speakers, 3 stages and lots of squirrels – At Flink Forward Berlin 2016 we’ve enjoyed three days full of exciting training sessions, keynotes, technical talks and panels. It was the second Flink Forward organized by data Artisans and we’re looking forward to the next conferences in San Francisco and Berlin.