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In conclusion, as you finish this book, the concept of a Data Warehouse, aimed at providing a single enterprise version of truth, remains relevant and vital. Throughout the chapters and case studies, we've seen that the limitations of previous infrastructures for creating and managing Data Warehouses have largely been addressed by advancements in Big Data technologies. This progress makes the pursuit of a unified truth more attainable. By integrating Big Data into the Data Warehouse, businesses can enhance their decision support platforms for years to come. The book also discusses governance and information lifecycle management in the context of Big Data, encouraging the reuse of existing program management techniques and the adoption of agile methodologies for data integration and management. As technology continues to evolve, new solutions will emerge that can be incorporated through modular integration strategies. The Appendix includes additional case studies and a special section on the Healthcare Information Factory, providing further guidance to help align your objectives with the integration of Big Data into your Data Warehouse.
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Data Warehousing in the Age of Big Data, Krish Krishnan
- Lingua
- Pubblicato
- 2013
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- (In brossura)
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