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A Data Warehouse (DW) is a centralized repository for structured data from multiple sources, optimized for read-heavy analytics and reporting. It differs from databases in terms of data volume, purpose, design, and processing methods, and is often compared to Apache Spark for big data processing. Data Lakes address DW limitations by allowing raw data storage without predefined schemas, while Data Marts serve specific business purposes with summarized data for faster queries.
- Author
- Mukesh
- Language
- EN