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• W2893369493 abstract "Many novel challenges and opportunities are associated with Big Data which require rethinking for many aspects of the traditional data warehouse architecture. Indeed, big data are collections of data sets so large and complex to process using classical data warehousing. This data is sourced from many different places such as social media and stored in different formats. It is primarily unstructured data needs a high performance information technology infrastructure that provides superior computational efficiency and storage capacity. This infrastructure should be flexible and scalable to ensure its management over large scale. In recent years, cloud computing is gaining momentum with more and more successful adoptions. This paper proposes a new data warehouse infrastructure as a service to effectively support distribution of big data storage, computing and parallelized programming." @default.
• W2893369493 created "2018-10-05" @default.
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• W2893369493 date "2018-01-01" @default.
• W2893369493 modified "2023-10-06" @default.
• W2893369493 title "DWIaaS: Data Warehouse Infrastructure as a Service for Big Data Analytics" @default.
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• W2893369493 doi "https://doi.org/10.1007/978-3-319-99810-7_7" @default.
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