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IA & Data
Modern Data Architectures: Data Mesh, Lakehouse, and Data Fabric
2 jour(s) • 14h
Description
Understanding and comparing modern data architectures in order to select the most suitable strategy for addressing the technical, organizational, and business challenges of the company.
Learning Objectives
- Identify the limitations of a centralized data architecture.
- Understand the principles of Data Mesh, Data Fabric, and Lakehouse.
- Differentiate the uses, advantages, and limitations of each approach.
- Evaluate selection criteria based on organizational context.
- Link data architectures to business needs, governance, and scalability.
- Model a target architecture for a concrete case.
Target Audience
Data Engineers
Data Architects
CDOs
Data Managers
Data Platform Managers
Prerequisites
Knowledge of data environments fundamentals (ETL, data warehouse, data lake)
Experience in data, BI, analytics, or IS architecture
Program Outline
Informations
Duration
2 jour(s)
14h
Tarif
Sur demande
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