Data architectures

Data fabric unifies data management across multiple sources in a secure and governed manner, overcoming challenges of data silos and fragmented landscapes.

A data lake is a storage repository that holds a vast amount of raw data in its native format from various sources, including structured, semi-structured, and unstructured data.

A data lakehouse is a data warehouse that combines the scalability and cost-effectiveness of a data lake with the performance and governance of a data warehouse.

Data mesh is a decentralized, autonomous, and self-governed architecture pattern that addresses the challenges of data silos, governance, and security. It enables organizations to build and operate data-driven applications in a distributed, resilient, and secure manner.

A data product architecture consists of three layers: the bronze layer, the silver layer, and the gold layer. Each layer represents a different stage in the data processing and refinement process.

Data warehousing is a process of collecting, organizing, and managing data from multiple sources into a single, unified system for easy access and analysis.