Data Warehouse Architecture

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A data warehouse is a centralized repository of integrated data from multiple sources, designed to support business analysis and decision-making. Its structure is crucial for efficient data retrieval and analysis. Here's a breakdown of the key components: 1. Data Sources Operational Systems: These are the primary sources of data, including ERP systems, CRM systems, sales databases, and more. They capture real-time transactional data. External Data: This can include market data, industry benchmarks, and other external information relevant to the business. 2. Extraction, Transformation, and Load (ETL) Extraction: Data is extracted from various sources using ETL tools or custom scripts.

Transformation: Whatsapp NumberThe extracted data is cleaned, standardized, and transformed to ensure consistency and quality. Load: The transformed data is loaded into the data warehouse. 3. Data Mart Subject-Oriented: Data marts are focused on specific business domains or subjects (e.g., sales, finance, marketing). Summarized Data: They typically contain summarized or aggregated data for faster query performance. Dependent on Data Warehouse: Data marts are usually created from the data warehouse. 4. Metadata Data Dictionary: Contains information about data elements, their definitions, relationships, and usage. Business Rules: Defines the rules and constraints governing the data.






Dimensional Model Star Schema: The most common model, consisting of a central fact table surrounded by dimension tables. Snowflake Schema: A variation of the star schema where dimension tables can be further normalized. Constellation Schema: Multiple fact tables are linked through dimension tables. 6. Data Warehouse Architecture Centralized: All data is stored in a single warehouse. Federated: Data is distributed across multiple warehouses. Hybrid: Combines centralized and federated approaches. 7. Data Warehouse Appliances Specialized hardware and software: Designed for high-performance data warehousing tasks. Visual Representation: