D

Data integration

Combining data from different sources and providing a unified view

Data integration is the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).

Nº Q386824 ★

Común · Saberes

Data integration

Combining data from different sources and providing a unified view

Texto en inglés

Data integration is the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).

Último precio

—

Precio mínimo

—

Mediana 7 d

—

Ventas 30 d

0

Rango 30 d

—

En circulación

0

Cotización

Ver tabla
Fechamediana MínMáxventas

Historial de ventas

Última venta
—
Media 30 d
—
Mínimo 30 d
—
Máximo 30 d
—
Ventas 7 d
0
Ventas 30 d
0

Aún no hay ventas.

Ventas anónimas: sin comprador ni vendedor. Las cifras solo cuentan ventas entre jugadores.

En Wikipedia

Texto en inglés Aún no hay artículo en tu idioma: extracto en inglés.

Data integration is the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories). The decision to integrate data tends to arise when the volume, complexity (that is, big data) and 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.

Texto: Wikipedia en inglés, CC BY-SA 4.0. ·

Cartas cercanas

Ver la ficha

Confirmación