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 at this time’s fashionable knowledge stack!
In case you missed my speak or wish to dive into the main points, right here’s my slide deck from this speak. You probably have any questions, please drop a remark or attain out to me on Twitter or LinkedIn!
Right now, metadata is in all places. Each element of the trendy knowledge stack and each consumer interplay on it generates metadata. Aside from conventional kinds like technical metadata (e.g. schemas) and enterprise metadata (e.g. taxonomy, glossary), our knowledge methods now create completely new types of metadata.
All these new types of metadata are being created by residing knowledge methods, typically in real-time. This has led to an explosion within the dimension and scale of metadata. Nevertheless, 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 reality.
Groups at this time wrestle to maintain tempo with “service requests” and to ramp up on area experience wanted. The web 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 outdoors the central group. I’ll cowl energetic metadata and the way its utility by embedded collaboration, open API interface, powered by data graphs, programmable-intelligence bots, knowledge course of automation, reverse metadata, can assist meet enterprise governance requirements.
Curious to study extra? Right here’s extra data on every part I referenced throughout my speak: