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1Technology and Strategy AlignmentYour NameRasmussen UniversityCOURSE#: Course TitleProfessor’s NameAssignment Due Date
2TECHNOLOGYData VirtualizationData virtualization is the method of aggregating data from various sources for thepurpose of generating a consistent logical and virtual view of knowledge such that front-endsystems such as apps, dashboards, and portals can be viewed without needing to know theprecise position of servers. Many companies operate several styles of database managementsystems, including Oracle and SQL servers, that don't fit well together. Companies are nowfacing new problems in data integration and data storage. Business customers can easily obtainaccurate statistics in real-time by virtualizing data, helping them to make important businessdecisions. Data virtualization entails the abstraction, transformation, federation, and transmissionof data from different sources. The key objective of data virtualization technologies is to haveone entry point across a broad variety of data sources. (Bogdanov, et al., 2020)Data analytics toolsDifferent analytical instruments on the market are included. There are currently manypositions in the business that deal with data and a data analyst plays such an important part. Adata analyst needs multiple resources to collect data insights. The following are the mostimportant analytical tools: Microsoft Excel, R and Python, Tableau, and SPSS.R and PythonR and Python are the top Data Analytics programming languages. R is an open-sourceplatform for statistics and analysis, while Python is simple to syntactic and complex semantics, a

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