Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
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Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data MeshModern Data Warehouse Centralized data repository for structured data
Optimized for data analysis and reporting
Supports complex queries and data transformationsData Fabric Connects multiple data sources into a unified layer
Provides a single point of access to data
Enables data sharing and collaboration across teamsData Lakehouse Combines the features of a data lake and a data warehouse
Stores both structured and unstructured data
Supports both data analysis and data science workloadsData Mesh Decentralized data architecture
Data is owned and managed by individual teams
Provides data autonomy and flexibility
* Facilitates data sharing and collaboration
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