Engineer for the future of Cloud
June 10-13, 2019
San Jose, CA

Distributed Data sessions

Track host

Silvia BotrosSilvia Botros (SendGrid) is a principal database engineer at SendGrid, a cloud email provider for household names like Spotify, Pandora, Airbnb, and eBay. In her spare time, she is busy with three Jr. DBAs at home (start them early!).


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11:35am12:15pm Wednesday, June 12, 2019
Location: 230 A
Mehant Baid (Dropbox)
Average rating: ****.
(4.00, 9 ratings)
Mehant Baid covers the challenges Dropbox faced while running Edgestore—a low-latency, distributed data store that serves 10 million requests per second. He shares the technical and cultural changes Dropbox adopted that enabled the company to consistently hit its service level objectives. Read more.
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1:25pm2:05pm Wednesday, June 12, 2019
Location: 230 A
Sean Allen (Wallaroo Labs)
Average rating: *****
(5.00, 2 ratings)
If we can't seem to get single-process shared data access right, Sean Allen asks, what chance do we have when we use distributed state? Read more.
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2:20pm3:00pm Wednesday, June 12, 2019
Location: 230 A
Amanda Moran (DataStax)
Average rating: ****.
(4.50, 2 ratings)
The future is here and the future needs more than your basic relational databases. Amanda Moran explains Apache Cassandra data modeling, how to do it right, and how you can be successful with cloud native distributed databases by avoiding common mistakes. Read more.
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3:50pm4:30pm Wednesday, June 12, 2019
Location: 230 A
Gwen Shapira (Confluent)
Average rating: ****.
(4.33, 3 ratings)
After five years of helping hundreds of customers use Apache Kafka, you've seen it all. Gwen Shapira provides an overview of the most common ways Apache Kafka users manage to cause downtime and lose data. And how to avoid them. Read more.
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4:45pm5:25pm Wednesday, June 12, 2019
Location: 230 A
Alex Rasmussen (Bits on Disk)
Average rating: ****.
(4.00, 1 rating)
Alex Rasmussen explores different categorical solutions to the problem of schema evolution—what happens when the structure of your structured data or API payload changes—and the trade-offs associated with each solution. Read more.