Data integration
Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users. The data being integrated must be received from a heterogeneous database system and transformed t
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- enData integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users. The data being integrated must be received from a heterogeneous database system and transformed t
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- Has abstract
- enData integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users. The data being integrated must be received from a heterogeneous database system and transformed to a single coherent data store that provides synchronous data across a network of files for clients. A common use of data integration is in data mining when analyzing and extracting information from existing databases that can be useful for Business information.
- Has close match
- data-integration
- Is primary topic of
- Data integration
- Label
- enData integration
- Link from a Wikipage to an external page
- 15926.org
- www-db.stanford.edu/tsimmis/
- Link from a Wikipage to another Wikipage
- Alphabet (computer science)
- AQUV
- Big data
- Bioinformatics
- Business information
- Business intelligence
- Business semantics management
- Category:Cyberinfrastructure
- Category:Database models
- Category:Data integration
- Category:Data management
- Change data capture
- Conjunctive query
- Core data integration
- Coupling (computer science)
- Customer data integration
- Cyberinfrastructure
- Data
- Data architecture
- Database
- Database model
- Database query language
- Data blending
- Data curation
- Data fusion
- Data hub
- Data lake
- Datalog
- Data mapping
- Data mediation
- Data mining
- Data modeling
- Datanet
- DataONE
- Dataspaces
- Data virtualization
- Data warehouse
- Data warehousing
- Data wrangling
- DrugBank
- Edge data integration
- Enterprise application integration
- Enterprise architecture framework
- Enterprise information integration
- Enterprise integration
- European Bioinformatics Institute
- European Union
- Extract, transform, load
- File:Dataintegration.png
- File:Datawarehouse.png
- File:GAVLAV.png
- First-order logic
- Formal language
- Functional predicate
- Geodi
- Global warming
- Heterogeneous
- Heterogeneous database system
- Hub and spoke
- Information explosion
- Information integration
- Information server
- Information silo
- Innovative Medicines Initiative
- Integration Competency Center
- Integration Consortium
- Invasive species
- IPUMS
- JDBC
- Johns Hopkins University
- JXTA
- Logical schema
- Logic programming
- Loose coupling
- Margaret Hedstrom
- Master data management
- Materialized view
- Meta-analysis
- Metadata
- Metadata standards
- National Science Foundation
- NP-complete
- Object-relational mapping
- Ontology (computer science)
- Ontology-based data integration
- OpenPHACTS
- Open Text
- Query optimizer
- Real world evidence
- Relational database
- Research Data Alliance
- Resource depletion
- Royal Society of Chemistry
- Schema matching
- Semantic
- Semantic integration
- Service-oriented architecture
- SQL
- Steven Ruggles
- Three schema approach
- Tuple (mathematics)
- UDEF
- UniProt
- University of Michigan
- University of Minnesota
- University of New Mexico
- University of North Carolina
- View (database)
- Virtual database
- Web application
- Web data integration
- Web service
- WikiPathways
- SameAs
- 3aT8x
- 4197730-0
- Consolidation informatique
- Dataintegraatio
- Dataintegrasjon
- Data-integratie
- Data integration
- Informationsintegration
- Integreiddio data
- m.0cmz7
- Q386824
- Tích hợp dữ liệu
- Интеграция данных
- Мәліметтерді алмастыру
- ادغام داده
- تركيب المعطيات
- 数据集成
- Subject
- Category:Cyberinfrastructure
- Category:Database models
- Category:Data integration
- Category:Data management
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- WasDerivedFrom
- Data integration?oldid=1121203916&ns=0
- WikiPageLength
- 29680
- Wikipage page ID
- 4780372
- Wikipage revision ID
- 1121203916
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- Template:Short description
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