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Ole Olesen-Bagneux

Anerkjent ekspert innen datakataloger og enterprise data management. Har skrevet 'The Enterprise Data Catalog', utgitt av O'Reilly, og har en doktorgrad fra Københavns Universitet i bibliotek- og informasjonsvitenskap. Jobber nå i Zeenea som sjefsevangelist.

Top 3 podcasts with Ole Olesen-Bagneux

Ranked by the Snipd community
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12 snips
Dec 2, 2024 • 23min

Ole Olesen-Bagneux - The Meta Grid (sneak peak)

Ole Olesen-Bagneux, an expert in metadata architecture and author of the forthcoming 'Fundamentals of Metadata Management', shares insights on the innovative concept of the Meta Grid. He discusses the critical role of metadata in improving information discovery and critiques current management practices. The conversation touches on the importance of a unified approach to data management, and the challenges posed by fragmented systems. Ole also explores the relationship between metadata and decentralization, advocating for community-driven solutions in the tech landscape.
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7 snips
Dec 5, 2024 • 1h 12min

Demystifying Meta Grid with Ole Olesen-Bagneux

Ole Olesen-Bagneux, an O’Reilly author and expert in MetaGrid architecture, dives into the revolutionary concept of MetaGrid. He explains how it's a decentralized architecture reshaping enterprise data management. Discussions highlight the critical role of metadata management, the challenges of siloed data, and the importance of clear communication. Ole also draws parallels between traditional information practices and modern data strategies, emphasizing the need for cohesive collaboration in navigating today's complex IT landscapes.
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Jun 6, 2024 • 54min

Ord og begrep innen data med Ole Olesen-Bagneux

Ole Olesen-Bagneux, en anerkjent ekspert innen datakataloger, deler innsikter om moderne datauttrykk som BI, data mesh og datavarehus. Sammen med Magne Bakkeli diskuterer de hvordan språket former vår forståelse av data og utfordringene knyttet til begrepsforvirring. Ole advarer mot overfladiske rapporter som kan hindre dypere datainnsikt. De dykker også ned i konseptene 'Data Lakehouse' og 'Data Observability', utforsker deres betydning og fremtidige muligheter for datastyring.

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