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Proposed privacy law 'pretty well balanced,' Canadian marketers told

What was billed by the Canadian Marketing Association as a keynote speech on the Trudeau government's proposed private-sector privacy legislation by a senior minister turned into a two-minute welcome to the CMA's annual privacy conference. Industry Minister François-Philippe Champagne said the proposed Bill C-27, which introduces the Consumer Protection Privacy Act, (CPPA) will "set a ....

Sahil Razdan , Amanda Maltby , Stikeman Elliot , Canadian Marketing Association , Canada Post , Postmedia Network , Minister Fran , Philippe Champagne , Consumer Protection Privacy Act , Artificial Intelligence Data Act , Personal Informational Protection , Electronic Documents Act , Privacy Commissioner ,

Data lineage: what it is and why it's important

As your data evolves, you need a way to track the who, what, when, why, and how of those changes. You need a data lineage system. ....

United States , Valex Solutions , General Data Protection Regulation , Personal Informational Protection , Electronic Documents Act , California Consumer Privacy Act , Azure Purview Data Catalog , Cloud Data Fusion , New Zealand Reseller News , Hannel X , Ew Zealand Channel , The Channel , T Channel , T Distribution , Information Technology , Ystems Integrator , Pplications Developer , Software Developer , Service Provider , Eb Developer , Supply Chain , Rt Services , ஒன்றுபட்டது மாநிலங்களில் , அலெக்ஸ் தீர்வுகள் , ஜநரல் தகவல்கள் ப்ரொடெக்ஶந் ஒழுங்குமுறை , தனிப்பட்ட தகவல் ப்ரொடெக்ஶந் ,

Data lineage: What it is and why it's important

Who or what business process changed the data?
What tool or technology made the change?
How was the data changed? Was it changed by an algorithm, a data flow, an API call, or someone entering data into a form?
What were the changes to records, documents, nodes, fields, or attributes?
When was the change made, and if done by a person, where were they geographically?
Why was the change made? What was the context?
Data lineage explained
Data lineage is comprised of methodologies and tools that expose data’s life cycle and help answer questions around who, when, where, why, and how data changes. It’s a discipline within metadata management and is often a featured capability of data catalogs that allow data consumers to understand the context of data they are utilizing for decision-making and other business purposes. ....

United States , Valex Solutions , General Data Protection Regulation , Personal Informational Protection , Electronic Documents Act , California Consumer Privacy Act , Azure Purview Data Catalog , Cloud Data Fusion , ஒன்றுபட்டது மாநிலங்களில் , அலெக்ஸ் தீர்வுகள் , ஜநரல் தகவல்கள் ப்ரொடெக்ஶந் ஒழுங்குமுறை , தனிப்பட்ட தகவல் ப்ரொடெக்ஶந் , மின்னணு ஆவணங்கள் நாடகம் , கலிஃபோர்னியா நுகர்வோர் ப்ரைவஸீ நாடகம் , மேகம் தகவல்கள் இணைவு ,