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  1. #1
    Senior Member
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    Delhi
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    Data Integration

    hi,
    what are the benefit of Data Integration ?

  2. #2
    Junior Member
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    Jun 2012
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    25
    Data integration is expensive and the commitment of management for integration is often short-lived.

  3. #3
    Senior Member
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    USA
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    Data integration is the process of the standardization of data definitions and data structures by using a common conceptual schema across a collection of data sources.Integrated data will be consistent and logically compatible in different systems or databases, and can use across
    time and user.

    Some Benefits of data integration are as below :

    -> Accuracy and Integrity
    -> Faster Processing and Turnaround Time
    -> Lower Data Acquisition and Storage Cos
    -> Timeliness
    -> Availability/Accessibility
    -> Accuracy and Integrity
    -> Completeness
    -> Greater Accountability
    -> Enhanced Program Development
    -> Informed and Defensible Decisions
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  4. #4
    Senior Member
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    Data integration is the process of the standardization of data definitions and data structures by using a common conceptual schema across a collection of data sources.Integrated data will be consistent and logically compatible in different systems or databases, and can use across
    time and user.

    Some Benefits of data integration are as below :

    -> Accuracy and Integrity
    -> Faster Processing and Turnaround Time
    -> Lower Data Acquisition and Storage Cos
    -> Timeliness
    -> Availability/Accessibility
    -> Accuracy and Integrity
    -> Completeness
    -> Greater Accountability
    -> Enhanced Program Development
    -> Informed and Defensible Decisions
    AccuWebHosting.Com | ASP.Net Hosting Provider Since 2003
    Cloud Powered Hosting | Windows VPS | Dedicated Servers
    US Based Hosting Company | Trusted by 20,000+ Clients Worldwide

  5. #5
    Registered User
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    Data integration involves combining data from several disparate sources, which are stored using various technologies and provide a unified view of the data. Data integration becomes increasingly important in cases of merging systems of two companies or consolidating applications within one company to provide a unified view of the company's data assets.
    Asia Affordable Web Hosting Provider

  6. #6
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    Sep 2012
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    54
    Hi I am Agree with webhostingdi

  7. #7
    Registered User
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    May 2013
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    1
    Data integration is the process of the standardization of data definitions and data structures by using a common conceptual schema across a collection of data sources.Integrated data will be consistent and logically compatible in different systems or databases, and can use across time and user.

  8. #8
    Registered User
    Join Date
    Jan 2016
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    613
    Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations, which include both commercial (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 and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved.

  9. #9
    Registered User
    Join Date
    Dec 2016
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    32
    Data integration means combining information from various sources into something useful. It’s about efficiently managing data and making it available to those who need it. Both a technical and a business process.

  10. #10
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    Oct 2016
    Posts
    302
    Enterprise data integration is the consolidation of business information or data sets from various sources, and sometimes various formats, and then compiling them into one accessible interface.

  11. #11
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    Jun 2016
    Location
    Mumbai
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    Data integration is the process of the standardization of data definitions and data structures by using a common
    conceptual schema across a collection of data sources (Heimbigner and McLeod, 1985; Litwin, et al., 1990).
    Integrated data will be consistent and logically compatible in different systems or databases, and can use across
    time and users (Martin, 1986).

    • identification of an optimal subset of the available data sources for integration
    • estimation of the levels of noise and distortions due to sensory, processing, and environmental conditions
    when the data are collected
    • the spatial resolution, the spectral resolution, and the accuracy of the data
    • the formats of the data, the archive systems, and the data storage and retrieval
    • the computational efficiency of the integrated data sets to achieve the goals of the users

  12. #12
    Junior Member
    Join Date
    Apr 2017
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    11
    It is very helpful and beneficial it used for standardization of data definitions and data structures to translate by using a common conceptual schema across a collection of data sources.
    Last edited by discusshostingadmin; 04-26-2017 at 05:03 AM.

  13. #13
    Registered User
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    Mar 2017
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    46
    Thanks For Your Information.

  14. #14
    Junior Member
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    May 2017
    Location
    India
    Posts
    27
    Nice information sharing.

  15. #15
    Member
    Join Date
    Jul 2017
    Posts
    35
    Data integrity is involves the some rules must needed to follow while writing that data.it is having so many sub types Accuracy and Integrity,Timeliness etc by which we decide which data should be available .

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