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Web Data IntegrationIdentity ResolutionUniversitt Mannheim Biker: Web Data IntegrationSlide 1The Data Integration Process Data Collection / ExtractionSchema Mapping Data TranslationIdentity ResolutionData
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Identify the data sources you want to integrate.
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Determine the objectives and goals for data integration.
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Choose a data integration tool or platform that suits your requirements.
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Map out the data flow and transformations needed to integrate the data.
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Monitor and maintain the data integration system to ensure data accuracy and reliability.

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Data architects and IT professionals responsible for ensuring data quality and consistency.
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Data integration is the process of combining data from different sources into a single, unified view.
Any organization or individual who needs to consolidate data from multiple sources.
Data integration can be done manually by importing and merging data, or using software tools that automate the process.
The purpose of data integration is to ensure that all relevant data is available in one place for analysis and decision-making.
Data integration should include details on the sources of data, the methods used for integration, and any transformations applied.
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