Ole Olesen-BagneuxinData Mesh LearningWhat the Meta Grid is and isn’tDifferences and similarities between Microservices, Data Mesh and Meta GridOct 281Oct 281
Ole Olesen-BagneuxThe Meta Grid is nuclear architectureMeta Grid architectures are extremely small, extremely full of energy and extremely explosiveOct 41Oct 41
Ole Olesen-BagneuxThere are many differences between data mesh and meta grid.Data mesh and meta grid are not technologies.Sep 30Sep 30
Ole Olesen-BagneuxThe Meta Grid is the third wave of data decentralizationJust as we did for operational and analytical data, we can break the monoliths of metadataSep 232Sep 232
Ole Olesen-BagneuxinAnalyst’s cornerDATA IS NOT SOMETHING IT WAS, BUT SOMETHING IT CAN BECOMEIn Humanizing Data Strategy [1] author Tiankai Feng openly admits a professional identity nurtured by private alienation. Growing up as an…Aug 4Aug 4
Ole Olesen-BagneuxinUX CollectiveWill people stop creating content on the web because of Google’s AI search results?Search generative experience and the content concern.Jun 73Jun 73
Ole Olesen-BagneuxinAnalyst’s cornerThe Winning Architecture of Search Generative ExperienceOne single, discrete feature of Search Generative Experience that will define the incorporation Generative AI in search enginesMay 24May 24
Ole Olesen-BagneuxinAnalyst’s cornerDATA ARCHITECTURES ARE CHOICES, NOT IDEALSIn Deciphering Data Architectures, [1] James Serra delivers a needed and rare perspective on data and technology that is intellectually far…May 8May 8
Ole Olesen-BagneuxinThe Enterprise Data MarketplaceTeam Topologies Ensure Stability to Organize in FluxLike a secret backdoor to the data mesh, Team Topologies [1] by Matthew Skelton and Manuel Pais unfolds the organizational dimensions of…Mar 14Mar 14
Ole Olesen-BagneuxinThe Enterprise Data MarketplaceThe Unifying Methodology expressed in Zeenea (I-II)This post is part I of II. The post describes the idea behind our upcoming webinar, the second post will be the takeaways from the webinar.Feb 27Feb 27