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- W2479844588 abstract "Every organization should have a data integration strategy as the volumes and complexity of the data they are required to manage escalates rapidly. Without a data integration strategy, the natural complexity of interfaces between applications quickly becomes unmanageable. The data integration strategy may be part of the data management strategy or simply part of the technology strategy, but it should include batch, real-time, and big data integration management. A data integration architecture will contain data integration engines (batch ETL, real-time ESB, and data virtualization), data hubs (data warehouses, master data hubs, enterprise content management servers, and Hadoop data), and metadata tools (central metadata repository, modeling tools, data discovery tools, data profiling tools)." @default.
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- W2479844588 date "2013-01-01" @default.
- W2479844588 modified "2023-09-23" @default.
- W2479844588 title "Conclusion to Managing Data in Motion" @default.
- W2479844588 doi "https://doi.org/10.1016/b978-0-12-397167-8.00022-4" @default.
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