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Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11] Statistician John Tukey, defined data analysis in 1961, as:
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
More specifically, business analysts are required to use the data which is gathered for the purpose of analysis and interpret greater meaning for the business. [7] This can then be used to improve business performance through identifying areas for potential growth, cost reduction , understanding customer behavior , and observing economic trends ...
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
Employment utilizing system analysis include system analyst, business analyst, manufacturing engineer, systems architect, enterprise architect, software architect, etc. While practitioners of system analysis can be called upon to create new systems, they often modify, expand, or document existing systems (processes, procedures, and methods ...
Amazon launches Amazon SimpleDB, which allows businesses, researchers, data analysts, and developers to easily and cheaply process vast amounts of data. It uses a hosted Hadoop framework running on the web-scale infrastructure of EC2 and Amazon S3.
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