Data Warehouse Architecture refers to the design and structure of a data warehouse system. It defines how data is sourced, stored, processed, and accessed for analytical reporting and decision support. Common architectures involve staging areas, ETL (Extract, Transform, Load) processes, a central data repository (the data warehouse itself), and data marts for specific business units or purposes. They're used for consolidating data from various sources, cleaning and transforming it into a consistent format, and providing a single source of truth for business intelligence.
Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable.
Use Sumble to: