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Data engineering
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==== Data warehouses ==== {{Main|Data warehouse}} If the data is structured and [[online analytical processing]] is required (but not online transaction processing), then [[data warehouse]]s are a main choice.<ref name="ibm1">{{cite web |title=What is a Data Warehouse? |url=https://www.ibm.com/cloud/learn/data-warehouse |website=www.ibm.com |access-date=31 July 2022 |language=en-us}}</ref> They enable data analysis, mining, and [[artificial intelligence]] on a much larger scale than databases can allow,<ref name="ibm1"/> and indeed data often flow from databases into data warehouses.<ref name="aws1">{{cite web |title=What is a Data Warehouse? {{!}} Key Concepts {{!}} Amazon Web Services |url=https://aws.amazon.com/data-warehouse/ |website=Amazon Web Services, Inc. |access-date=31 July 2022}}</ref> [[Business analyst]]s, data engineers, and data scientists can access data warehouses using tools such as SQL or [[business intelligence]] software.<ref name="aws1"/>
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