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Features and tools

FUNCTIONAL ARCHITECTURE

End-to-end data management and control: from infrastructure management and monitoring to data storage, analysis and governance.

  • Distributed storage of high availability.

  • Distributed processing batch and streaming data.

  • Data representation and SQL queries.

  • Construction of notebooks to carry out computational, data science or machine learning tasks.

  • Access to different data sourceseven in real time.

  • User interface for interacting with the distribution tools.
  • Process planning.

 

  • Monitoring of use and performance of services.

 

  • Safety layer for the protection of access to data on the basis of their sensitivity, the authentication and authorisation management.

 

  • Data Governance throughout the information processing cycle.

 

  • Visualisation of data.

FUNCTIONAL ARCHITECTURE

Flexible

and updates

Two evolutionary lines, several annual releases

Graphenus' release policy reduces the risk of technological obsolescence by continuously incorporating new capabilities.

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Experimental

  • New developments

 

  • New versions of the components

 

  • Proofs of concept

 

  • Own team looking for possible functionalities or new tools

 

  • Release period: 3 months
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Stable

  • Fully stable software

 

  • Promoted from the experimental version

 

  • Seamlessly integrated with the rest of the components

 

  • Release period: 6 months.

Promotion: Every 3 months we analyse which components and developments have sufficient stability to move from the experimental version to the stable version, generating a new Release.

PRODUCT ROADMAP

FUNCIONALITY

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Administration:

- Graphenus Manager:
Access


Interoperability:
- Data Virtualisation
- PowerBI & Qlik Integration

 

SW Base & Infra:
– Adaptation to Rocky 8

 

Visualization:
– Apache SuperSet

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Interoperability:

– Apache Iceberg

 

Interoperability:

- GAIA X Inception

 

BBDDs:

- Cassandra

- HBase

 

SW Base & Infra:

- Graphenus Lite on Kubernetes

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Machine Learning:

- OCR

 

Administration:

- Graphenus Manager:

Administration of services and resources

 

Sandbox:

- Sandbox

 

Administration:

- Graphenus Manager:

   Monitoring and logs

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Administration:
- Graphenus Manager: configurations and versioning

 

SW Base & Infra:
- Kubernetes

 

Security:
- Ranger Policy Share

 

Machine Learning:
- Federated Learning

EXPERIMENTAL

2024-4T

2023-1T

2023-2T

2023-3T

STABLE

2023-1T

2023-2T

2023-3T

2023-4T

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More than 20 open source tools, an all-in-one solution
Further information

Access to different data sources, including in real time.

TRINO | SPARK | KAFKA

High-availability distributed storage.

HDFS

Container management.

DOCKER SWARM

Distributed batch and streaming data processing.

YARN | SPARK

Process planning.

AIRFLOW

Data representation and SQL queries.

HIVE | TRINO

Build notebooks for computing, data science or machine learning.

JUPYTER NOTEBOOKS

User interface for interacting with the distribution tools.

HUE

Monitoring of the use and operation of all services.

CADVISOR , LOKI , PROMETHEUS , GRAFANA

Identification, authentication and authorisation of users.

FREEIPA | KERBEROS | KNOX | KEYCLOAK | RANGER | RANGER

Data governance throughout the information processing cycle

DataHub

Data visualisation.

SUPERSET