Ralph Kimball the co-founder of the data warehousing concept has defined the data warehouse as a "a copy of transaction data specifically structured for query and analysis".
Data warehousing is closely linked to OLAP - Online Analytical Processing - which relates to complex analysis of (usually aggregated, or denormalized) data in a data warehouse.
In contrast, OLTP refers to Online Transaction Processing. An OLTP database is used for day-to-day business operations and is therefore well-normalized.
See also Snowflake Schema vs. Star Schema.
Data warehouse versus OLTP comparison chart
| ||Data warehouse||OLTP|
|Introduction (from Wikipedia) ||In computing, a data warehouse or enterprise data warehouse is a database used for reporting and data analysis. It is a central repository of data which is created by integrating data from one or more disparate sources.
||Online transaction processing, or OLTP, refers to a class of systems that facilitate and manage transaction-oriented applications, typically for data entry and retrieval transaction processing. The term is somewhat ambiguous; some understand a "trans
Share this comparison:
If you read this far, you should follow us:
"Datawarehouse vs OLTP." Diffen.com. Diffen LLC, n.d. Web. 24 Oct 2016. < >