Pace is the OS Policy As Code Engine. Define and implement your data policies as a programmatic and portable set of YAML’s and apply it to any data platform.
If you’re a great front-end SWE looking for something new amidst all the turmoil (+ understand value of privacy) you’ll have fun with us at @STRMprivacy. We’re a data platform built around privacy, our new app is Next/React against a gRPC/k8s/Go back-end. https://t.co/DSz77Dmbqn
“Whatever the benefits of GDPR, they come at substantial costs in foregone innovation.” said the US NBER.
But it’s the “whatever” that matters.
We’d say avoiding potential privacy train wrecks through GDPR can actually drive -not limit- innovation:
https://t.co/cpAOxdrS0r
Back in March, STRM troopers @robintrietsch & @pimnauts attended Data Council in Austin and delivered a lightning talk. The video’s now live:
https://t.co/n7a7eqC6SD
Tune in to learn about privacy by design for data and a quick demo with real-time anonymous privacy streams!
About a year ago we thought we’d “experiment” a bit with gRPC - and it escalated quickly…
Last week @robintrietsch and @jankeesvanandel shared our journey @OpenValue meetup, and we’re even opening up the spec in a public repo!
Read/learn all about it:
https://t.co/cNdCT5TVzn
Yesterday, @robintrietsch and @jankeesvanandel shared our learnings in switching to gRPC for our management API’s @OpenValue MeetUp.
To help you go gRPC just a tad bit quicker we’re sharing the definitions on GH as well. 🚀
Fork away, hope it helps!
https://t.co/Z55YxewmMN
Yesterday, @robintrietsch and @jankeesvanandel shared our learnings in switching to gRPC for our management API’s @OpenValue MeetUp.
To help you go gRPC just a tad bit quicker we’re sharing the definitions on GH as well. 🚀
Fork away, hope it helps!
https://t.co/Z55YxewmMN
Exciting! Hot of the press!
We outlined our guiding principles for building privacy-first data systems in a contribution to the special issue of IEEE’s Data Engineering Bulletin.
Thank you @sscdotopen and @haixunwang for inviting us!
https://t.co/ll7Gufxe71
Link 👇.
Long story short: We hope to contribute to this from a practical perspective too, with a set of handlebars you can use when the compliance pressure and realities of data engineering kick you in the face.
Thanks etc!
Beyond this honor, it’s extremely cool that a platform like IEEE emphasizes the importance and many challenges of embedding privacy in data systems. 👏🏻
The gap between legislation & practical engineering is a very real challenge, and efforts to bridge this are limited.
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Exciting! Hot of the press!
We outlined our guiding principles for building privacy-first data systems in a contribution to the special issue of IEEE’s Data Engineering Bulletin.
Thank you @sscdotopen and @haixunwang for inviting us!
https://t.co/ll7Gufxe71
Link 👇.
It’s even more important as the usage and value of data have increased tremendously over the same timeframe, and the Cost of Privacy to organizations is getting ever more real (from legal coordination, limited velocity and potentially speeding tickets).