Glossary of Data Integration term and concepts
The following glossary ot terms and meanings are provided for your information and to assist your in understanding the concepts within this website. Please bear with us as we compile this glossary over the next few days.
Application and Database Administrators :
Application Integration (EAI) :
Application Program Interface (API) :
Application Triggers :
Bespoke Application :
Best Fit Integration :
Best Fit Integration :
Business Intelligence :
Business Process :
Business Requirements :
Configurations :
Connector Applications :
Consume (Services) :
Data Integration :
Data Cleansing :
Data Quality :
Data Structure Model :
Development Environment :
Disparate (Applications) :
End User :
Extract, Transform and Load (ETL) :
Extranet :
Forms Based Application :
Golden Source :
Holistic Approach :
Hybrid Approach :
Interface (Data) :
Integration Paradyms :
Intrusive or Non Intrusive Integration :
Legacy Application :
Meta Data : Data which describes other data. For example, a description of a database in terms of its structure and the relationship between the entities in it
Open Source : open source refers to any program whose source code is made available for use or modification as users or other developers see fit
Packaged Application :
Plug and Play Components :
Portal Application :
Process lag :
Process state :
Publish (Services) :
Program Code :
Redundancy (Data) :
Reference Data :
Rework :
Return on Investment :
Runtime Environment (Process Delivery) :
Service Oriented Architecture (SOA) : a collection of loosely-coupled, distributed services which communicate and interoperate via agreed standards. The combination of a service and standards-based approach can result in a directory of reusable service components which together can be employed to enhance existing networked applications or build new applications. A SOA approach is frequently found in the development of "enterprise"portals which aggregate services provided by different service providers using uniform methods of discovery, access, use and presentation.
Source Data :
Source System (Data) :
SQL based data movements :
Structured Query Language (SQL) :
Target System :
Transparency (Process) :
Web Service :
Workflow Application :
eXtendable Markup Language (XML) :
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