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Privacy in Technology

Data Minimization in Analytics Using dbt and Privacy Dynamics

07.26.22

Data minimization is an important security, privacy, and compliance strategy, but applying it in an analytics context is hard. In this post, we show you how you can minimize the use of personal information in the Modern Data Stack, using dbt, Snowflake, a

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Privacy in Technology

House Rx Enables “Minimum Necessary” Data Access Policy with Privacy Dynamics

07.18.22

House Rx can now feel confident that their engineers and analysts have fast and responsible access to the information they need, without having access to information they don’t.

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Privacy in Technology

Using Anonymized Data for Survival Analysis in Python

07.13.22

Survival analysis is a powerful tool for understanding the time between any two events, but typically it requires rich data that can re-identify individuals. In this post, we demonstrate how to use anonymized data for survival analysis without degrading t

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Privacy in Technology

Five Questions to Ask If You Are Considering Synthetic Data

06.21.22

We often get asked about how our solution compares to synthetic data, and are surprised to find that most synthetic data companies aren’t straightforward about the risks and tradeoffs of their approach.

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Privacy in Technology

Exploring Snowflake's New Data Classification Tools

05.12.22

Data classification, also called entity recognition or PII detection, is the process of labeling data with its semantic type after inferring the meaning of the data. Data Classification is also the name of a new Snowflake feature, released in public previ

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Privacy in Technology

Privacy Plus Utility - Motivating a Microaggregation Approach

05.04.22

At Data Council Austin, Will Thompson surveyed the current state-of-the-art privacy methods, and discussed why we think a microaggregation-based approach is the best solution to the privacy-utility tradeoff for most data teams

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Data Anonymization

Making Simple Privacy Transformations Easier in dbt

05.03.22

Today we published a new dbt package to make it easier to pseudonymize data in your data warehouse

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Data Anonymization

Why You Should Be Anonymizing More Data

04.07.22

Data privacy and utility are fundamentally at odds, but with the recent advancements in privacy technology, the question of anonymizing data is shifting from why to why not

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Data Anonymization

Data Engineering Podcast

02.06.22

Scalable Strategies For Protecting Data Privacy In Your Shared Data Sets

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Privacy in Technology

Our founding story

01.06.22

Launching a startup is like starting a fire without a match, persistence is paramount

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Privacy in Technology

DC_THURS Podcast

12.02.21

Privacy-Safe Data Engineering Workflows w/ Graham Thompson

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