Dataware in the news
Dataware
concepts
Dataware combines modern concepts in data management, data governance, data protection, and application development within a unified platform environment.
It is used to support federated data governance (via data products), set data-layer access controls that are universally enforced, generate collaborative intelligence, and eliminate databases and data integration from the development of new digital solutions.
Data
Liberation
Dataware imports data and metadata from external sources to a network-based architecture where it liberated from the constraints and dependencies associated with traditional data integration. The network render solution-specific databases and point-to-point data integration obsolete.
Data
Productization
Dataware supports the decentralization of data governance to data stewards within functional teams that possess domain-specific expertise e.g. finance, sales, product management. Stewards set access and other controls at the data-layer (not in application code) so they can be universally enforced.
Data
Collaboration
Dataware enables people and systems to discover, add, manage, and enrich data within the network which acts as a single source of truth for the organization. Data can be recycled into unlimited business models which in turn power digital solutions (apps, analytics, automations) while preserving access controls.
Collaborative Intelligence
Dataware supports the accumulation of organizational intelligence which is driven by on-going collaboration on datasets. Intelligence is measured by several factors including the diversity of contributors, the number of data linkages within the network, and by increases in the performance, autonomy, and personalization of the digital solutions it powers.
Origins of dataware concept
The dataware concept was originally conceived by Gordon C. Everest in his 1966 work "Database Management: Objectives, System Functions, & Administration.
Supporting initiatives
.png)
