Luke Feeney | Why A Knowledge Graph Is Best For Distributed Collaboration
KGC | The Complete Collection • 20m
There has been an explosion of tools - especially in the machine learning space - describing themselves as ‘git for data’. This talk will review the main open source players and link the interest to data mesh architectures. Not to jump to outcomes without first conducting the review, but it will conclude that knowledge graphs are the best way to approach distributed collaboration.
Luke Feeney from TeminusDB presents us with with a question from a forum that asked 8 years ago, "Is there an alternative to Git for version control on data?". Building upon this question, Luke talks about what has happened the last five years expanding on the "Git for data" movement. During these years, tools have been built to help build out Git for data and Luke presents the tools ideas which are placed in four areas which are versioning layer, data catalogues, data pipelining, and version databases. He will present what these areas are and present how a workspace will be like working with these types. #knowledgegraphs #knowledgegraphconference #knowledgegraphuses #knowledgegraphintheoryandpractice
Up Next in KGC | The Complete Collection
-
Mark Grover | From Discovering To Tru...
Over a third of analyst time is spent in understanding what data exists, can it be trusted and how to use it. Countless Data Engineering time is spent in answering the same questions about data - what does that column mean, how does it get populated, how often does it update and if there’s any in...
-
Ben Szekley | How To Build Enterprise...
In recently naming graph technology one of their top 10 trends data and analytic trends for 2021, the Gartner Group highlighted an emerging pattern: today an ever increasing number of F1000 organizations are implementing graph technology not to address point graph use cases, but rather data integ...
-
Book Club | Semantic Web for the Work...
