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How will the GDPR impact machine learning? – O’Reilly Media

This article aims to demystify this intersection between ML and the GDPR, focusing on the three biggest questions I’ve received at Immuta about maintaining GDPR-compliant data science and R&D programs. Granted, with an enforcement data of May 25, the GDPR has yet to come into full effect, and a good deal of what we do know about how it will be enforced is either vague or evolving (or both!). But key questions and key challenges have already started to emerge.

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List of Google Easter eggs – Wikipedia

Easter eggs are hidden features or messages, inside jokes, and cultural references inserted into media. They are often well hidden, so that users find it gratifying when they discover them, helping form bonds between Google and its users. The easter eggs are sometimes created by employees during their 20% time. Google avoids adding easter eggs to popular search pages, as they do not want to negatively impact usability.[5][6]

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ETL vs ELT: The Difference is in the How

the ELT approach provides a modern alternative to ETL. However, it’s still evolving. Therefore, the frameworks and tools to support the ELT process are not always fully developed to facilitate load and processing of large amount of data. The upside is very promising – enabling unlimited access to all of your data at any time and saving developers efforts and time for BI users and analysts.

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