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Product Abstract

Overcoming Barriers to Data Interoperability: Silos, Semantics, and Schemas

Product ID:3002006631
Date Published:27-Jul-2015
Pages:18
Sector Name:Power Delivery & Utilization - Distribution & Utilization
Document Type:Technical Results

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Abstract

Effective data interoperability is a key foundation of a utility’s data analytics capability. Effective use of analytics tools requires up-to-date, consistent data of known validity that may be drawn from disparate databases and other storage systems. For decades the standard solution to overcoming data interoperability barriers for reporting and analysis has been the use of a data warehouse. This report describes an alternative to creating a physical data warehouse: a Logical Data Warehouse (LDW). Describing a utility’s data using a shared, universal model, such as that provided by the Common Information Model (CIM), may allow data from disparate, non-interoperable storage locations to be combined and analyzed at a lower cost and with greater flexibility. A hybrid solution that combines both physical and logical warehouses represents a balanced approach for most utilities.

Program
2015 Program 180   Distribution Systems
Keywords
  • Common Information Model (CIM)
  • Data interoperability
  • Data semantics
  • Physical data warehouse
  • Logical data warehouse
Report
000000003002006631
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