Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh Modern Data Warehouse Centralized data repository for structured data Optimized for data analysis and reporting Supports complex queries and data transformations Data Fabric Connects multiple data sources into a unified layer Provides a single point of access to data Enables data sharing and collaboration across teams Data 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 workloads Data Mesh Decentralized data architecture Data is owned and managed by individual teams Provides data autonomy and flexibility * Facilitates data sharing and collaboration