Architecture & Integrations

Last generation microservices-oriented architecture, fully scalable and interoperable with native integration over plenty of technologies

NATIVE BIG DATA AND CLOUD ARCHITECTURE WITH NO VENDOR LOCK-IN OR BLACK BOXES

Microservices-oriented approach to deliver the scalability and interoperability required in a flexible, open, and extensible ecosystem

Anjana Data is the only Data & Analytics Governance Platform on the market that implements extended native integration on the main technologies of the major Cloud providers (AWS, Azure and GCP) in addition to the Big Data technologies with the greatest presence in the data ecosystems of the organizations.

Additionally, thanks to its adaptation, configuration and extensibility capabilities, Anjana Data allows the customization of the platform through parametry without the need for code development while offering a resource kit for new plugins and agents development for integration with other technologies and provides different layers of APIs for bidirectional interaction with the modules of the platform.

Functional Architecture

Anjana Data’s functional architecture has been designed to cover all D&A Governance needs and requirements for any organization while being agnostic to the technical architecture and the data ecosystem technologies

  • Administration & Configuration Layer lets admin users customize the solution based on the organization’s needs and requirements without coding
  • Consumption & Interaction Layer allows any kind of user to get access to all Functionalities & Features passing through the Governance Layer
  • Both web-based Portals and APIs available for interaction with the platform
  • 4 main functional modules offering different features and functionalities all integrated within the same platform
  • Functionalities and features may be customized for the organization, and they will be adapted to the users based on the defined governance model
  • All features are accessible through the web-based Portals and APIs
  • Several internal repositories for diverse purposes, all accessible through APIs and direct access for further exploitation (no black boxes)
  • Recommendations engine to give users support and advice
  • Different options to integrate the platform within any kind of technology stack and ecosystem with extension and customization capabilities
  • Plugins to automate common technical processes over data platforms

MODULAR ARCHITECTURE ORIENTED TO MICROSERVICES WITH OPEN-SOURCE TECHNOLOGIES

Anjana Data is a platform with a modern state-of-the-art architecture, which has different microservices totally independent but integrated and interconnected with each other. Thus, it is possible to decouple the capabilities of the different layers and modules of the solution while ensuring complete consistency and a unified user experience for the entire platform.

In addition, thanks to its architecture design and the used technologies, Anjana Data offers a series of capabilities in terms of flexibility, adaptability, customization, extensibility, scalability and interoperability that make it one of the most innovative solutions on the market from a technical point of view.

Finally, Anjana Data supports different deployment types and service models ranging from on-premise infrastructures about virtual machines to SaaS modality through kubernetes deployments in any public clouds on the market, which again makes Anjana Data a platform with unique capabilities in the market.

Extended native integration

Different types of integration for end-to-end automation of common technical processes.

extraccion-metadatos

Metadata and lineage harvesting

Automatic discovery and assisted importation of metadata and technical lineage for a multitude of information systems.
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Data sampling

On-the-fly querying for the presentation of information samples and data statistics.
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Active management of permissions

Automation in the concession of privileges and the implementation of data access policies.
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Data structures management

Automation in the creation, modification and deletion of data structures and storage points.
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External audit of processes

Monitorization of data platform activity logs to obtain dynamic lineage and control data access.
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Other integrations

Different integrations with platforms, systems and technologies for supporting data management.

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