Remove 2019 Remove Data Governance Remove Data Warehouse Remove Risk Management
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Data Governance Makes Data Security Less Scary

erwin

In fact, we’ve seen some frightening ones play out already: Google’s record GDPR fine – France’s data privacy enforcement agency hit the tech giant with a $57 million penalty in early 2019 – more than 80 times the steepest fine the U.K.’s The Regulatory Rationale for Integrating Data Management & Data Governance.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

For a large volume of structured data, for example, a customer master or data warehouse, where there are many stakeholders in your organization who need to see different subsets, tokenization is generally better. Ideally the decision of how to protect data should be treated like any other data governance policy.

Insurance 150
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Data Mesh Architecture and the Data Catalog

Alation

In contrast to this common, centralized approach, a data mesh architecture calls for responsibilities to be distributed to the people closest to the data. Indeed, decentralization is at the core of domain-driven design (DDD), which divides a large domain into different zones, to be managed by the stakeholders who know those zones best.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Governance. Value Management or monetization. Risk Management (most likely within context of governance). Product Management. See recorded webinars: Emerging Practices for a Data-driven Strategy.