An Intellyx Brain Candy Brief
Innovation works best when it increases abstraction and reduces complexity.
Nextdata, founded by Zhamak Dehghani, creator of the data mesh concept, does both with its innovative Nextdata OS solution for building autonomous data products.
Centralized data management creates complexity and challenges for analytics, reporting, business intelligence, and gen AI model training.
The Nextdata OS product simplifies the problem by creating domain driven data products, adapting the domain driven design (DDD) concept of breaking complex IT challenges into separate domains with bounded contexts.
The challenge of rationalizing large volumes of disparate corporate data has been around a long time.
Attempts to create a universal data model or universal data store for an organization tend to fail, typically because it’d almost impossible to reconcile an organization’s wide variety of data formats, models, and semantics.
A federated model integrates separate databases using data virtualization, an ESB, EAI, SOA, or RESTful APIs. But it’s difficult to update and maintain such an integration architecture when organizations change.
The Nextdata solution decentralizes data and aligns its data products to the semantics of a business domain, such as retail, sales, marketing, order management, inventory management, finance, and accounting departments.
The autonomous data product manages itself once set up and contains everything you need to maintain and access data for that domain and share data across domains, including discovery, communication, semantics, governance, and real time updates.
The data product abstraction layer deploys on any infrastructure, and easily integrates with other products, orchestrations, dashboards, and AI training mechanisms.
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