I simply spoke at Zero Gravity by Incorta, a contemporary cloud knowledge pipeline occasion. I’ve been working with knowledge pipelines for years, so it was wonderful sharing about my experiences taming the chaos in right this moment’s trendy knowledge stack!
In case you missed my discuss or wish to dive into the small print, right here’s my slide deck from this discuss. In case you have any questions, please drop a remark or attain out to me on Twitter or LinkedIn!
Right this moment, metadata is in every single place. Each element of the fashionable knowledge stack and each consumer interplay on it generates metadata. Aside from conventional types like technical metadata (e.g. schemas) and enterprise metadata (e.g. taxonomy, glossary), our knowledge methods now create totally new types of metadata.
All these new types of metadata are being created by dwelling knowledge methods, typically in real-time. This has led to an explosion within the measurement and scale of metadata. Nonetheless, this has made it troublesome for centralized knowledge engineering and reporting groups to totally leverage metadata that holds the important thing to the elusive promised land — a single supply of fact.
Groups right this moment wrestle to maintain tempo with “service requests” and to ramp up on area experience wanted. The online result’s misplaced alternative. However by successfully amassing metadata, a group can unify context about all their instruments, processes, and knowledge.
This session covers how can knowledge groups leverage metadata to energy higher collaboration, enabling organizations to speed up onboarding and construct knowledge merchandise exterior the central group. I’ll cowl lively metadata and the way its software by way of embedded collaboration, open API interface, powered by information graphs, programmable-intelligence bots, knowledge course of automation, reverse metadata, can assist meet enterprise governance requirements.
Curious to be taught extra? Right here’s extra info on the whole lot I referenced throughout my discuss: