Data lineage how data moves and transforms within the warehouse
Solved Step by Step with Explanation Warehouse Architecture and Metadata
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Solved Step by Step with Explanation Warehouse Architecture and Metadata
1. Single-Layer Architecture:
- Advantage: Simplicity and ease of implementation. Data is stored in a single database, which can be easier to manage for smaller datasets.
3. Three-Tier Architecture:
- Advantage: Further separation of data storage, data processing, and presentation layers. This architecture provides the highest level of scalability, maintainability, and performance optimization.
In data warehousing, metadata plays a crucial role in making the data useful and understandable. It includes information about the source of data, transformations applied to the data, business rules, data lineage (how data moves and transforms within the warehouse), and other contextual information that helps analysts and users interpret the data correctly. Data warehouse metadata is focused on supporting the analytical and reporting needs of the organization.
Metadata in Databases: