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K is a Data Knowledge platform enabling data discovery, knowledge management and data governance for all data users.
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K Architecture
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K Services
Component | Description |
Extractors | The service is used for connecting to, extracting and loading metadata and logs from data sources and tools. The extractors can also be deployed as a collector service for on-premise sources when using the K SaaS offering if access to between the on-premise source and the SaaS offering is not available. |
Profiler | The service is used to identify and profile data assets and their usage. A set of proprietary algorithms are used to automatically match and analyse data assets over their lifecycle. |
Identity | The service is used to integrate with the Enterprise Identity Management service to provide single sign on. |
Search | The service provides fast, accurate and contextual search for all assets within K. |
Applications | The service is used to access dedicated applications built to solve specific data problems. E.g. migration assessment, impact assessment etc. |
Interfaces
Component | Description |
API | This interface is used by applications and services to interact and access data managed by K. |
Web Portal | This interface is used by end users (e.g. Data managers, analysts etc) to access K and its services. |
Notifications | This interface is used to engage with end users via push notifications e.g. Email. |
Stores
Component | Description |
Metadata | The metadata store is used to store the details and relationships between data assets, reports, users, teams and other objects within the data ecosystem. |
Timeseries | The timeseries is used to store each data asset, person or content item and its lifecycle over time. |
Index | Each object in the data ecosystem is added to a search index to enable the contextual search service. |
Inputs
Component | Description |
Data Sources | Data sources (e.g. Teradata, Hadoop, Snowflake, SQL Server etc.) where data is stored and used by the Enterprise data teams. K has integrators for many on-premise and cloud data sources and can also ingest custom data sources through the K ingestion framework. |
Data Tools | Reporting and Analytics applications (e.g. Tableau, Power BI etc.) used by the Enterprise data teams to create, manage and distribute content. K has integrators for common data tools and can also ingest custom data tools through the K ingestion framework. |
Identity | Identity provider and user management sources (e.g. LDAP, SAML, OpenID Connect) that can provide single sign on and user and team data. |
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