Operational Data Store

Master data management Solutions 1 The tools include data networks, file systems, a data warehouse, data marts, an operational data store, data mining, data analysis, data virtualization, data federation and data visualization. One of the newest tools, virtual master data management (also called virtual mdm) utilizes data virtualization and a persistent metadata server to implement a multi-level automated MDM hierarchy.

Operational data store 1 An operational data store (or "ODS") is a database designed to integrate data from multiple sources for additional operations on the data. The data is then passed back to operational systems for further operations and to the data warehouse for reporting.

Operational data store - Publications 1 Inmon, William (1999). Building the Operational Data Store (2nd ed.). New York: John Wiley & Sons. ISBN X.

Extract, transform, load 1 Loads it into the end target (database, more specifically, operational data store, data mart, or data warehouse)

Data loading 1 * Loads it into the end target (database, more specifically, operational data store, data mart, or data warehouse)

Fact (data warehouse) 1 The data stored in the warehouse are Uploading and downloading|uploaded from the operational systems (such as marketing, sales etc., shown in the figure to the right). The data may pass through an operational data store for additional operations before they are used in the DW for reporting.

Fact (data warehouse) 1 The integration layer integrates the disparate data sets by transforming the data from the staging layer often storing this transformed data in an operational data store (ODS) database

Fact (data warehouse) 1 The integrated data source systems may be considered to be a part of a distributed operational data store layer

Fact (data warehouse) - Top-down design 1 Gartner released a research note confirming Inmon's definition in 2005Gartner, Of Data Warehouses, Operational Data Stores, Data Marts and Data Outhouses, Dec 2005 with additional clarity plus they added one additional attribute

Fact (data warehouse) - Top-down design 1 ; No virtualization: A data warehouse is a physical repository.Gartner, Of Data Warehouses, Operational Data Stores, Data Marts and Data Outhouses, Dec

Fact (data warehouse) - Hybrid design 1 To consolidate these various data models, and facilitate the extract transform load (ETL) process, DW solutions often make use of an operational data store (ODS)

Data warehouses 1 The data stored in the warehouse are Uploading and downloading|uploaded from the operational systems (such as marketing, sales, etc., shown in the figure to the right). The data may pass through an operational data store for additional operations before they are used in the DW for reporting.

Data warehousing 1 The data stored in the warehouse is Uploading and downloading|uploaded from the operational systems (such as marketing, sales, etc., shown in the figure to the right). The data may pass through an operational data store for additional operations before it is used in the DW for reporting.

Data warehousing 1 The integration layer integrates the disparate data sets by transforming the data from the staging layer often storing this transformed data in an operational data store (ODS) database

BusinessObjects Data Integrator 1 The Data Integrator product consists primarily of a Data Integrator Job Server and the Data Integrator Designer. It is commonly used for building data marts, Operational data store|ODS systems and data warehouses, etc.

Semantic warehousing 1 In data management, 'semantic warehousing' is a methodology of digitalized text data using similar functions to Data warehousing (DW), such as ETL(Extract, transform, load), ODS(Operational data store), and MODEL. Value (computer science)|Key value operation is less useful for the digitalized text. Semantic warehousing is different from DW in that semantic information base from text(semantic) data.

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