A data warehouse is a central repository for storing and managing data from multiple sources. It is designed to support the efficient querying and analysis of data and is a key component of a modern data management architecture. Data warehouses are typically designed to handle large volumes of data and support the needs of business intelligence and data analytics applications.
Data warehouses differ from traditional databases in several ways. They are typically designed to support the needs of business users rather than transactional processing, and they are optimized for querying and analysis rather than transactional processing. Data warehouses also tend to store data in a structured format that is optimized for querying and analysis, such as in a star or snowflake schema.
In a data warehouse, data is typically extracted from various sources, transformed to fit the data warehouse schema, and then loaded into the data warehouse for querying and analysis. This process, known as ETL (extract, transform, load), is designed to ensure that data in the data warehouse is accurate, consistent, and up-to-date.
Data warehouses are an important tool for businesses that need to analyze large volumes of data in order to make informed decisions. They provide a central repository for storing and managing data from multiple sources, and they are optimized for querying and analysis, making it faster and easier to access and analyze data.
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Bragi which is purpose-built for these scenarios.