A data warehouse is a central repository of integrated and consolidated data from various sources
within an organization. It is designed to support business intelligence (BI) and reporting activities by providing a structured and historical view of data.
Data warehouses are specifically optimized for analytical processing and querying, enabling organizations to derive valuable insights and make informed business decisions
A data warehouse consolidates data from multiple sources, such as operational databases, external systems, and other data repositories. It integrates and transforms the data into a consistent and standardized format to ensure data quality and accuracy.
Data warehouses use a schema design, such as star or snowflake schema, to structure and organize data for efficient querying and analysis. They typically employ dimensional modeling techniques to represent data in a way that aligns with business processes and reporting requirements.
Data warehouses store historical data over time, allowing organizations to analyze trends, patterns, and historical performance. This enables longitudinal analysis and provides a broader context for decision-making.
Data warehouses are designed to support complex queries and analytical processing. They often employ indexing, partitioning, and other optimization techniques to improve query performance and response time.
Data warehouses are designed to support complex queries and analytical processing. They often employ indexing, partitioning, and other optimization techniques to improve query performance and response time.