About Data GovernanceData Glossary - O
Object
In a Data Modeling context, aperson, place, thing, or concept that has characteristics of interest to an environment. In the context of an Object-Oriented system, an object is an entity that combines descriptions of data and behavior.
Object Management Group (OMG)
Object Management Group is the industry group dedicated to promoting object-oriented (OO) technology and its standardization.
ODBC
see Open Database Connectivity
ODS
Operational Data Store
OLAP
On-line Analytical Processing
OLTP
On-line Transaction Processing
On-line Analytical Processing (OLAP)
A process that allows a person, using an application, to analyze data stored in a database or data warehouse, in real-time. The focus is on analysis and decision-making. OLAP is in contrast to OLTP (On-Line Transaction Processing), which is used in transactional systems.
On-line Transaction Processing
A traditional task of relational database management systems: processing transaction as part of day-to-day operations, such as purchasing, payroll, banking, reservations, etc.
Operational
Ontology
A conceptualisation or specification of a knowledge domain. An ontology is a controlled vocabulary that describes objects and the relations between them in a formal way. It has a grammar for using the vocabulary terms to express something meaningful within a specified domain of interest.
Open Architecture
When a manufacturer publicly publishes the specifications for their computer, the computer is said to have an open architecture. This allows other companies to create add-ons to enhance and customize the machine, and to make peripheral devices that work properly with it. With a closed architecture, only the original manufacturer can make add-ons and peripherals. (DMReview definition)
Open Database Connectivity (ODBC)
A standard for database access co-opted by Microsoft from the SQL Access Group consortium.
Operational Data Store
A database designed to integrate data from multiple sources, for the purposes of facilitating operations, analysis and reporting. Because the data originates from multiple sources, the integration often involves cleaning, redundancy resolution and business rule enforcement. Wheras a Data Warehouse generally stores aggregated data, an ODS is usually designed to contain low level or atomic (indivisible) data such as transactions.
Organizational Change Management
A discipline for helping people throughout an organization learn new behaviors and skills.so the enterprise can adapt to a transformation or major change.
Outsource
Transferring the provision of a set of services from an internal service provider to an external service provider.
Outsourcing
see Outsource
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