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https://quizlet.com/11643149/data-warehousing-flash-cards/
A conceptional data model of the data warehouse defining the structure of the data warehouse and the metadata to access operational databases and external data sources. Data Mart A subset or view of a data warehouse, typically at a department or functional level, that contains all data required for decision support talks of that department.
https://www.informatica.com/services-and-training/glossary-of-terms/data-warehousing-definition.html
Data warehousing is a technology that aggregates structured data from one or more sources so that it can be compared and analyzed for greater business intelligence. What do I need to know about data warehousing? Data warehouses are typically used to correlate broad business data to provide greater executive insight into corporate performance.
https://azure.microsoft.com/en-us/services/synapse-analytics/
Nov 07, 2019 · Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale.
https://aws.amazon.com/data-warehouse/
A data warehouse is a central repository of information that can be analyzed to make better informed decisions. Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence.Business analysts, data scientists, and decision makers access the data through business intelligence (BI) tools, SQL clients, and other analytics ...
https://www.ibm.com/support/knowledgecenter/en/SSGU8G_11.50.0/com.ibm.whse.doc/ids_ddi_344.htm
An enterprise data warehousing environment can consist of an EDW, an operational data store (ODS), and physical and virtual data marts. A data warehouse can be implemented in several different ways. You can use a single data management system, such as Informix®, for both transaction processing and business analytics.
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