Flink Forward San Francisco 2019

Name: Flink Forward San Francisco 2019
Start: 2019-04-01
End: 2019-04-02
Location: Hotel Nikko San Francisco

Apr 1–2, 2019 · Hotel Nikko San Francisco, San Francisco, CA, United States

Conference: Flink Forward Database
Dates: Apr 1, 2019 – Apr 2, 2019
Venue: Hotel Nikko San Francisco
Place: San Francisco, CA, United States
Format: In person
Status: Past
Attendance: 350
Organizer site (pre-event): 'Around 350 developers ... will come together'; registration page: '350+ Flink Community Members'.
Website: sf-2019.flink-forward.org
Recorded: 16 sponsors · 47 speaker appearances
Notes: April 1 training, April 2 conference. Full talk list from the archive agenda on flink-forward.org; affiliations taken from the contemporaneous speakers page (Aug 2019 snapshot) where available, otherwise from the archive site (which shows some speakers' later employers). Keynotes = the opening plenary slots. Recordings: Flink Forward YouTube channel. Prices not published (Eventbrite).

Ticket prices

No ticket prices recorded

Sponsors 16

Platinum 2

Alibaba Cloud · Platinum Sponsor
Google · Platinum Sponsor

Gold 4

Amazon Web Services · Gold Sponsor
Dell Technologies · Gold Sponsor
Lyft · Gold Sponsor
The Trade Desk · Gold Sponsor

Silver 3

Cogility · Silver Sponsors
Eventador.io · Silver Sponsors
Yelp · Silver Sponsors

Community 5

Apache Software Foundation · Community Partners
Berlin Buzzwords · Community Partners
Data Council · Community Partners
Women Who Code · Community Partners
WomenHack · Community Partners

Media 1

EventBrowse · Media Partners

Other 1

Comcast · Flink Fest Sponsor

Speakers and talks 47

Speaker	Company	Role	Talk	Links
Dave Torok	Comcast	Keynote	Flink Powered Customer Experience: Scaling from 5 Billion down to One	—
Jonathan Miles	The Trade Desk	Keynote	The Trade Desk's Year in Flink	—
Robert Metzger	Ververica	Keynote	From Stream Processor to a Unified Data Processing System	—
Stephan Ewen	Ververica	Keynote	From Stream Processor to a Unified Data Processing System	—
Xiaowei Jiang	Alibaba Cloud	Keynote	From Stream Processor to a Unified Data Processing System	—
Adam Butler	John Deere	Speaker	How John Deere uses Flink to process millions of sensor measurements per second	—
Addison Higham	Instructure	Speaker	Becoming a Smooth Operator: A look at low-level Flink APIs and what they enable	—
Aditi Verma	Branch Metrics	Speaker	Scaling a real-time streaming warehouse with Apache Flink, Parquet and Kubernetes	—
Akshay Balwally	Lyft	Speaker	Streaming your Lyft Ride Prices	—
Aljoscha Krettek	Ververica	Speaker	Towards Flink 2.0: Rethinking the stack and APIs to unify Batch & Stream	—
Anand Swaminathan	Lyft	Speaker	Managing Flink on Kubernetes - FlinkK8sOperator	—
Aslam Tajwala	Cogility	Speaker	Analytics for the masses	—
Bowen Li	Alibaba Cloud	Speaker	Integrate Flink with Hive Ecosystem	—
Dave Torok	Comcast	Speaker	Adventures in Scaling from Zero to 5 Billion Data Points per Day	—
Elliot Chow	Netflix	Speaker	Real-time Processing with Flink for Machine Learning at Netflix	—
Fangjin Yang	Imply	Speaker	Building a Streaming Analytics Stack with Open Source Technologies	—
Greg Finch	John Deere	Speaker	How John Deere uses Flink to process millions of sensor measurements per second	—
Hao Wang	Airbnb	Speaker	Building production Flink jobs with Airstream at Airbnb	—
Isaac Mckillen-Godfried	AI Stream	Speaker	Deploying ONNX models on Flink	—
Jonathan Walsh	Arctic Wolf	Speaker	Hunting for Attack Chains in Event Streams	—
Ketan Umare	Lyft	Speaker	Managing Flink on Kubernetes - FlinkK8sOperator	—
Luca Giovagnoli	Yelp	Speaker	Realtime Store Visit Predictions at Scale	—
Matthew Dailey	Splunk	Speaker	Using Flink to inspect live data as it flows through a data pipeline	—
Ning Shi	Klaviyo	Speaker	High cardinality data stream processing with large states	—
Pablo Estrada	Google	Speaker	Apache Beam: Portability in the times of Real Time Streaming	—
Pala Muthiah	Airbnb	Speaker	Building production Flink jobs with Airstream at Airbnb	—
Pallavi Phadnis	Netflix	Speaker	Massive Scale Data Processing at Netflix using Flink	—
Piotr Nowojski	Ververica	Speaker	How to Join Two Data Streams?	—
Prem Santosh Udaya Shankar	Yelp	Speaker	Creating millions of user sessions using Complex Event Processing	—
Ramesh Shanmugam	Branch Metrics	Speaker	Scaling a real-time streaming warehouse with Apache Flink, Parquet and Kubernetes	—
Ray Ruvinskiy	Arctic Wolf	Speaker	Hunting for Attack Chains in Event Streams	—
Robert Crowe	Google	Speaker	TensorFlow Extended: An end-to-end machine learning platform for TensorFlow	—
Rong Rong	Uber	Speaker	Practical Experience running Flink in Production	—
Roshan Naik	Uber	Speaker	Moving from Lambda and Kappa Architectures to Kappa+ at Uber	—
Seth Wiesman	Ververica	Speaker	Stream Processing takes on ACID - Ververica Streaming Ledger	—
Shaoxuan Wang	Alibaba Cloud	Speaker	Build a Table-centric Apache Flink Ecosystem	—
Shaoxuan Wang	Alibaba Cloud	Speaker	When Table meets AI: Build Flink AI Ecosystem on Table API	—
Shuyi Chen	Uber	Speaker	Practical Experience running Flink in Production	—
Sijie Guo	Apache Pulsar	Speaker	Elastic Data Processing with Apache Flink and Apache Pulsar	—
Snehal Nagmote	Netflix	Speaker	Massive Scale Data Processing at Netflix using Flink	—
Stephan Ewen	Ververica	Speaker	Towards Flink 2.0: Rethinking the stack and APIs to unify Batch & Stream	—
Thomas Weise	Lyft	Speaker	Streaming your Lyft Ride Prices	—
Till Rohrmann	Ververica	Speaker	Future of Apache Flink Deployments: Containers, Kubernetes and More	—
Vivek Thakre	Intuit	Speaker	Building Financial Identity Platform using Apache Flink	—
Xiaogang Shi	Tencent	Speaker	Developing and operating real-time applications with Oceanus	—
Xu Yang	Alibaba Cloud	Speaker	High performance ML library based on Flink	—
Xuefu Zhang	Alibaba Cloud	Speaker	Integrate Flink with Hive Ecosystem	—