Data warehousing terms

  • What is data warehousing terminology?

    A data warehouse is a collection of data primarily used for reporting and analysis.
    It's a way to provide business analysts and other users with a centralized repository of accurate, enterprise data from which to glean timely analytic insights that guide everyday business decisions..

Data Warehouse Terms
  • Metadata. In simple terms, metadata provides the answers to all your data-related questions in the data warehouse.
  • Dimension and Dimensional Model (DM) As defined above, a dimension refers to single attribute of same data type.
  • OLAP Cube.
  • ETL.
  • Drill across.
  • Drill up.
  • Drill down.
  • Drill Through.
A glossary for key terms and definitions for data warehousing.
The data warehouse is self-driving, self-securing, and self-repairing. This means:

What are the characteristics of a data warehouse architecture?

Regardless of the tier, all data warehouse architectures must meet the same five properties: separation, scalability, extensibility, security, and administrability

A database is a transactional system that monitors and updates real-time data in order to have only the most recent data available


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