TOPIC: Data, Systems and Networking

Data @Scale 2016

JUNE 02, 2016 @ 10:00 AM PDT - 5:00 PM PDT
Designed for engineers who are interested in building, operating, and using data systems at scale. Data already enables companies to build products with user empathy, find new market opportunities, understand trends, make better decisions, and ensure that their services and systems stay healthy.


We recently hosted Data @Scale, our invitation-only technical conference for engineers working on large-scale storage systems and analytics. For the second time, we hosted the event in Seattle, where the community of engineers working on high-scale systems is growing. We had a goal of bringing these vibrant engineers together to openly discuss challenges and collaborate on the development of new solutions when building services that serve millions — or even billions — of people. And we did just that by hearing a wide range of topics from speakers.

We had speakers from Dropbox, Facebook, Google, Microsoft, Qumulo, Tableau, Twitter, and the University of Wisconsin-Madison. They spoke about visual data analysis, exabyte storage systems, batch and streaming data processing, and key-value stores. While the day touched on a variety of topics, one thing was the same: All the speakers were excited to share their insights on building and operating systems in practice.


Event times below are displayed in PT.

June 2

10:00 AM - 05:00 PM
Dropbox’s exabyte storage system
Speaker James Cowling,Dropbox
10:00 AM - 05:00 PM
Presto Raptor: MPP shared-nothing database on flash
Speaker Jay Tang,Facebook
10:00 AM - 05:00 PM
Data @Scale welcome — Surendra Verma
Speaker Surendra Verma,Facebook
10:00 AM - 05:00 PM
Your storage is broken: Lessons from studying modern databases and key-value stores
Speaker Dr. Remzi Arpaci-Dusseau,
10:00 PM - 05:00 PM
Facebook’s disaggregated storage and compute for Map/Reduce
Speaker Kestutis Patiejunas,Facebook Engineer Team
Speaker Amisha Jaiswal,Facebook Engineer Team
10:00 AM - 05:00 PM
Data integration for visual analysis in Tableau
Speaker Pawel Terlecki,Tableau Software
10:00 AM - 05:00 PM
Apache Beam: A unified and open model for batch and streaming data processing
Speaker Frances Perry,Google
10:00 AM - 05:00 PM
Scale out resource management: YARN++
Speaker Sriram Rao,Microsoft
10:00 AM - 05:00 PM
Providing flexible consistency levels with Manhattan
Speaker Boaz Avital,Twitter
10:00 AM - 05:00 PM
Qumulo Core: Using analytics to make data visible at scale
Speaker Molly Brown,Qumulo, Inc.


James Cowling


Jay Tang


Surendra Verma


Dr. Remzi Arpaci-Dusseau

Kestutis Patiejunas

Facebook Engineer Team

Amisha Jaiswal

Facebook Engineer Team

Pawel Terlecki

Tableau Software

Frances Perry


Sriram Rao


Boaz Avital


Molly Brown

Qumulo, Inc.

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