Our Use Cases

Our Use Cases

Discover how our solutions adapt to real-life use cases to meet the business and technical challenges

of data-driven organizations.

1

Use Case

Data Hub & Transactional Applications

Objective: Centralize data within a structured Data Hub, modeled according to business needs, and accessible through high-performance REST APIs.

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Data Hub & Transactional Applications

Objective: Centralize data within a structured Data Hub, modeled according to business needs, and accessible through high-performance REST APIs.

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Data Warehouse / Datamarts & Analytical Applications

Objective: Transform complex objects into normalized relational models to feed data warehouses and datamarts.

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Data Warehouse / Datamarts & Analytical Applications

Objective: Transform complex objects into normalized relational models to feed data warehouses and datamarts.

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2

Use Case

3

Use Case

Datasets & Data Science Applications

Objective: Deliver contextualized, enriched, and ready-to-use datasets for data science and AI teams.

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Datasets & Data Science Applications

Objective: Deliver contextualized, enriched, and ready-to-use datasets for data science and AI teams.

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Data Quality & Profiling

Objective: Automatically generate quality-oriented databases and profiling objects to analyze and ensure data reliability before usage.

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Data Quality & Profiling

Objective: Automatically generate quality-oriented databases and profiling objects to analyze and ensure data reliability before usage.

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4

Use Case

Use cases 1 & 3 :

Use cases 1 & 3 :

For use cases involving hierarchical data, flexible structures, or high-frequency exchanges, Streams favors NoSQL databases, offering modeling flexibility and high data availability.

For use cases involving hierarchical data, flexible structures, or high-frequency exchanges, Streams favors NoSQL databases, offering modeling flexibility and high data availability.

Use cases 2 & 4 :

Use cases 2 & 4 :

Streams leverages relational (SQL) databases when data needs to be structured for analytical use cases, reporting, or BI—ensuring normalization, efficient joins, and robust complex queries.

Streams leverages relational (SQL) databases when data needs to be structured for analytical use cases, reporting, or BI—ensuring normalization, efficient joins, and robust complex queries.

The Streams solution is officially registered with the APP (Agence pour la Protection des Programmes) under the number IDDN.FR.001.150007.000.S.P.2025.000.20900.

This registration ensures the platform’s originality, traceability, and intellectual property rights.

It is also protected in the United States through official registration with the U.S. Copyright Office, under Service Request No. 1-14902816031.

© 2025 Guy Christian TSANGA KEPEDEN – All rights reserved.

Empowering Businesses Through Data

Solutions, Expertise, and Collaboration

CONTACTS

01 89 20 28 79

contact@datanexions.com

27-29 rue de Bassano

75008 Paris, France

Empowering Businesses Through Data

Solutions, Expertise, and Collaboration

CONTACTS

01 89 20 29 06

contact@datanexions.com

27-29 rue de Bassano

75008 Paris, France

La solution Streams est protégée par un dépôt officiel auprès de l’APP (Agence pour la Protection des Programmes) sous le numéro IDDN.FR.001.150007.000.S.P.2025.000.20900.

Cette protection garantit l’originalité, la traçabilité et la propriété intellectuelle de la plateforme.

Elle est également protégée aux États-Unis par un enregistrement officiel auprès de l’Office américain du droit d’auteur (U.S. Copyright Office), sous le numéro de demande Service Request

No. 1-14902816031.

© 2025 Guy Christian TSANGA KEPEDEN – Tous droits réservés.