Skip to content

Blog post linking summit videos #119

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 4 commits into from
Jul 22, 2022
Merged
Changes from 1 commit
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
Update _posts/2022-07-21-data-ai-summit-videos.md
Co-authored-by: Jim Park <[email protected]>
  • Loading branch information
rtyler and jim80net authored Jul 22, 2022
commit 224c8fac751e5a65ab5100f387ef13e2e63aab88
4 changes: 2 additions & 2 deletions _posts/2022-07-21-data-ai-summit-videos.md
Original file line number Diff line number Diff line change
Expand Up @@ -26,8 +26,8 @@ work he has done developing
[![Streaming Data into Delta Lake with Rust and Kafka](https://img.youtube.com/vi/do4jsxeKfd4/hqdefault.jpg)](https://www.youtube.com/watch?v=do4jsxeKfd4&list=PLTPXxbhUt-YVWi_cf2UUDc9VZFLoRgu0l&index=195)
* [QP Hou](https://github.com/houqp), Scribd Emeritus, presented on
his foundational work to ensure correctness within delta-rs during his session:
**[Ensuring Correct Distributed Writes to Delta Lake in Rust with Formal
Verification](https://www.youtube.com/watch?v=ABoCnrVWCKY&list=PLTPXxbhUt-YVWi_cf2UUDc9VZFLoRgu0l&index=112)
[![Ensuring Correct Distributed Writes to Delta Lake in Rust with Formal
Verification](https://img.youtube.com/vi/ABoCnrVWCKY/hqdefault.jpg)](https://www.youtube.com/watch?v=ABoCnrVWCKY&list=PLTPXxbhUt-YVWi_cf2UUDc9VZFLoRgu0l&index=112)
* [R Tyler Croy](https://github.com/rtyler) co-presented with Gavin
Edgley from Databricks on the cost analysis work Scribd has done to efficiently
grow our data platform with **[Doubling the size of the data lake without doubling the
Expand Down