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Semantics Driven Data Integration Shorten Architect, MarkLogicEdward Thomas Consultant, MarkLogic2 October 2018 MARKOVIC Corporation Is Data Integration Important? Organizations are busy creating

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How to fill out marklogicsemanticsimproving data integrationmarklogicsemanticsimproving data

01

Identify the sources of the data that needs to be integrated

02

Clean and prepare the data to ensure accuracy and consistency

03

Use MarkLogic Semantics to create a data model that reflects the relationships between different entities

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01

Enterprises looking to streamline data integration processes and improve data quality

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MarkLogic Semantics is improving data integration and data management by providing a semantic layer to help organizations better understand their data.

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Organizations that want to enhance their data integration capabilities using semantics technology may choose to implement MarkLogic Semantics.

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The purpose of MarkLogic Semantics for data integration is to help organizations improve their understanding of data and facilitate better data management and integration processes.

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Information reported on MarkLogic Semantics for data integration may include data mapping, data analysis results, and integrated data sets.

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