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 now’s fashionable 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. When you’ve got any questions, please drop a remark or attain out to me on Twitter or LinkedIn!
At present, metadata is in every single place. Each part of the fashionable knowledge stack and each person interplay on it generates metadata. Aside from conventional kinds like technical metadata (e.g. schemas) and enterprise metadata (e.g. taxonomy, glossary), our knowledge programs now create completely new types of metadata.
All these new types of metadata are being created by residing knowledge programs, 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 now battle to maintain tempo with “service requests” and to ramp up on area experience wanted. The web result’s misplaced alternative. However by successfully accumulating metadata, a staff 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 staff. I’ll cowl energetic metadata and the way its utility via embedded collaboration, open API interface, powered by data graphs, programmable-intelligence bots, knowledge course of automation, reverse metadata, will help meet enterprise governance requirements.
Curious to study extra? Right here’s extra data on the whole lot I referenced throughout my discuss: