Luke Feeney | Why A Knowledge Graph Is Best For Distributed Collaboration
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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
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