An always-fresh 360-view for each individual business entity
Built for real-time operations
Manages a complete, clean, and compliant dataset for a business entity, enabling instant access to authorized data consumers
Continually updated from the entity's underlying source systems, and augmented with real-time, situational awareness
K2view Data Product Platform manages billions of Micro-Databases concurrently, at a fraction of the cost of DBMS alternatives
Think “micro data lake”
A Micro-Database functions as a data lake of one, unifying and harmonizing all the data, from all relevant source systems, for a specific customer, order, loan, etc..
- 01 Accessible in ms
- 02 In sync
- 03 Secured
- 04 Compliant
- 05 Augmented
- 06 ACID-compliant
- 07 Distributed
- 08 Cached or persisted
01Accessible in ms
Accessible in ms
Accessible in milliseconds, by authorized data consumers, in any method: SQL, APIs, CDC, messaging, and streaming.
The Micro-Database is kept in sync with the underlying source systems based on user-defined rules
Each Micro-Database is secured with its own, unique 256-bit encryption key, ensuring that a mass data breach is an impossible event.
Personally identifiable information (PII) and sensitive data is masked or tokenized in flight, ensuring compliance with data privacy and security regulations.
The Micro-Database can be augmented with insights from from real-time analytics, decisioning engines, ML models, or external sources.
Micro-Databases are ACID-compliant, and can serve as the system of record for new applications.
Micro-Databases are stored in a distributed data store, like Apache Cassandra or Microsoft Azure Blob Storage, and are therefore highly scalable.
08Cached or persisted
Cached or persisted
The Micro-Database can be cached into memory, persisted, or virtualized, for optimal performance.
Micro-Databases are managed by data products
Micro-Databases are created, processed, governed, and accessed by data products. The metadata for a data product defines the following Micro-Database attibutes:
Schema, auto-discovered and containing all the Micro-Database tables and fields required to capture the entity data
Synchronization rules, for how/when the Micro-Database is synced with sources
Algorithms, that transform, process, enrich, and mask raw data into the Micro-Database
Data integration methods, including CDC, JDBC, Kafka, data services, and more
Data transformation, with orchestration from target to source
Governance, ensuring data quality, privacy, and security
Learn from the best
Cloud First Chief Technologist, Accenture
Watch Accenture Cloud First Chief Technologist, Teresa Tung, holder of 220 patents, explain the concept of operational data products in a data mesh, and how Micro-Databases are a key enabler.
Instead of querying massive tables with complex joins, query one Micro-Database in milliseconds
Always fresh and relevant
Sync policies ensure the data is as fresh as you need, without impacting underlying systems
Trusted by everyone
Each entity's data is 360-complete, clean, and compliant - trusted as the single source of truth
Data virtualization support provides an easy-to-access logical abstraction layer
Data transformation of unprecedented sophistication
Metadata discovery and data classification accelerate implementation