Data architectures provide the framework for organizing, storing, and processing data, ensuring efficient and reliable data flow within an organization. They are essential for supporting business intelligence, analytics, and decision-making processes.
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.
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