Examples
Worked examples
- Is an instance
A university research-analytics data warehouse aggregating CRIS publications, HR employment, and finance grants for institutional dashboards.
- Is an instance
A national funder's data warehouse of award spend and outputs.
Counter-examples
Looks similar, but isn't
- Not an instance
A raw S3 bucket of files is a data lake, not a data warehouse.
- Not an instance
An OLTP transactional database is not a data warehouse.
Editorial commentary
Data warehousing dates to the 1980s and 1990s (Inmon, Kimball) and remains the dominant pattern for organisational reporting. In research-information contexts, a data warehouse may aggregate CRIS, HR, finance, and student-system data to support institutional analytics; OECD and national funders maintain warehouses of research-spend data. Modern cloud data warehouses (Snowflake, BigQuery, Redshift, Synapse) blur the lake/warehouse distinction by combining cheap storage with on-demand SQL compute.
References
- Inmon W.H., 'Building the Data Warehouse', Wiley, 4th edition, 2005.
- Kimball R., Ross M., 'The Data Warehouse Toolkit', Wiley, 3rd edition, 2013.
Also known as
DW · Enterprise data warehouse
Machine-readable encodings
Use in your systems
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