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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.

In your data platform
Joined June 2020
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Let us help you make your data do what your privacy policies say. Book a demo so we can show you how: strmprivacy.io youtu.be/tnBJZ_HnGnc
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Plus you get to work with @robintrietsch @plantevin @BobHoogen & @joepvanleijsen !
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. join.STRM.team
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The intern when the team is in the middle of Renovatebot merges.
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We’re taking notes on this one 📝
In 1 tweet, convince folks why they should care about privacy.
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“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: strmprivacy.io/posts/innovat…
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“Is that you, Winston”?
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Back in March, STRM troopers @robintrietsch & @pimnauts attended Data Council in Austin and delivered a lightning talk. The video’s now live: strmprivacy.io/posts/data-co… Tune in to learn about privacy by design for data and a quick demo with real-time anonymous privacy streams!
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That last MR of the day.
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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: strmprivacy.io/posts/cross-l…
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. 1/?
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! sites.computer.org/debull/A2… Link 👇.
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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).
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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!
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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! sites.computer.org/debull/A2… Link 👇.
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Hey you in the front (end)! Come build with us? join.strm.team/senior-fronte… We’re looking to +1 with an experienced front-ender and bring collaboration to privacy and data. We’re on React, building against Go/Kotlin backends over gRPC. 🎶 to your 👂? HMU!