Remove terms gdpr-statement
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Why Your Business Should Use a Data Catalog to Organize Its Data

Smart Data Collective

Imagine searching through boxes of receipts and statements, trying to find the ones you need to file this year’s income taxes. It also helps with things like GDPR compliance. Business glossaries explain terms connected to different data sets. A data catalog serves the same purpose.

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EU and US agree to chart common course on AI regulation

CIO Business Intelligence

Working well together requires agreement on the meaning of terms, and to that end the two parties released an updated edition of their EU-US Terminology and Taxonomy for Artificial Intelligence, now available for download. The emphasis is on developing “safe, secure, and trustworthy” AI technologies.

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GDPR compliance checklist

IBM Big Data Hub

The General Data Protection Regulation (GDPR) is a European Union (EU) law that governs how organizations collect and use personal data. Any company operating in the EU or handling EU residents’ data must adhere to GDPR requirements. However, GDPR compliance is not necessarily a straightforward matter.

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Build a real-time GDPR-aligned Apache Iceberg data lake

AWS Big Data

But regulations such as the General Data Protection Regulation (GDPR) have created obligations for data operators who must be able to erase or update personal data from their data lake when requested. As part of the customer’s request, we ran delete and update statements using Athena with Iceberg support. Delete the Athena workgroup.

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Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg

AWS Big Data

Index rebalancing arbitrage takes advantage of short-term price discrepancies resulting from ETF managers’ efforts to minimize index tracking error. Furthermore, the tagging feature can also help with other aspects of data management, such as data retention for GDPR compliance, and maintaining lineages of the table via different branches.

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Why are so many businesses still doing a poor job of managing data in 2019?

Peter James Thomas

Many companies will include aspirations to become data-centric in their quarterly statements, but the root and branch change that this entails is something that few organisations are actually putting the necessary resources behind. GDPR and its ilk. For example in: 20 Risks that Beset Data Programmes. Ever Tried? Ever Failed? [2].

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

To get a better sense of the present situation of DG and the near-term outlook, first, let’s take a careful look at the history of how we got to this point. Flashpoint” (2018) – GDPR went into effect, plus major data blunders happened seemingly everywhere. In other words, GDPR-ish is becoming a done deal. in the context of ML.