Fundamentals of Data Warehouses.
Three types of common data transformations within adata warehouse are: Integration – It acts as an endpoint for data from various sources such as APIs and databases.
Cleaning – Data from various sources then gets cleaned prior to consolidation to ensure data reliability.15 fév. 2023
A data warehouse is a centralized storage system that allows for the storing, analyzing, and interpreting of data in order to facilitate better decision-making.
Transactional systems, relational databases, and other sources provide data into data warehouses on a regular basis.
A typical data warehouse has four main components: a central database, ETL (extract, transform, load) tools, metadata, and access tools.
All of these components are engineered for speed so that you can get results quickly and analyse data on the fly.
Diagram showing the components of a data warehouse.