Remove areas-of-work privacy
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Scalable Strategies For Protecting Data Privacy In Your Shared Data Sets

Data Engineering Podcast

Summary There are many dimensions to the work of protecting the privacy of users in our data. He also explains how he and his team at Privacy Dynamics are working to make those strategies more accessible to organizations so that you can focus on all of the other tasks required of you. How does it work?

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Data-driven insight in the era PII

Precisely

Globally, personal data privacy is also to the fore. The CCPA (or California Consumer Privacy Act) was inspired by the GDPR, and both laws were created to protect the personal data of online consumers. The headline of GDPR is that it enforces much tougher non-compliance penalties than the Data Protection Act (DPA).

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Synthetic Data As A Service For Simplifying Privacy Engineering With Gretel

Data Engineering Podcast

Summary Any time that you are storing data about people there are a number of privacy and security considerations that come with it. Privacy engineering is a growing field in data management that focuses on how to protect attributes of personal data so that the containing datasets can be shared safely.

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How Much Data Do We Need? Balancing Machine Learning with Security Considerations

Towards Data Science

We want to collect data because it is the prerequisite for most of the kinds of work we want to do, in order to produce valuable models and beneficial results. Taking a hard look at data privacy puts our habits and choices in a different context, however. If you ask a data scientist “Can we solve this problem?”

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5 Challenges of Ethical Data Stewardship

Precisely

Data privacy regulations are constantly evolving, and customer preferences and expectations are high and on the move. Ultimately, these changes will help organizations satisfy ever-changing privacy regulations and customer preferences, but there are challenges to consider throughout the ethical data stewardship journey.

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Deciphering the Data Enigma: Big Data vs Small Data

Knowledge Hut

It involves working with datasets that can be managed using standard hardware and software without the need for complex infrastructure. In today's data-driven world, the volume and variety of information are growing unprecedentedly.

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Simplify Data Security For Sensitive Information With The Skyflow Data Privacy Vault

Data Engineering Podcast

In this episode Sean Falconer explains the idea of a data privacy vault and how this new architectural element can drastically reduce the potential for making a mistake with how you manage regulated or personally identifiable information. And don’t forget to thank them for their continued support of this show! In fact, while only 3.5%