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SAS analytics software is a comprehensive suite of statistical, data mining, and predictive analytics applications. These powerful and easy-to-use tools enable you to perform such tasks as data management, statistical analysis, predictive modeling, business intelligence reporting and dashboarding for large volumes of enterprise data. Available in both 32-bit and 64-bit versions, the SAS dataset manager provides a common interface for accessing both types of data storage. It also offers native support for working with SAS datasets which use compression schemes such as gzip or bzip2; allows exporting results to compressed formats; displays metadata information about datasets; and handles the requirement to keep files open while reading from them. The SAS dataset manager also provides a visual interface to browse through datasets stored on external mass-storage devices. The SAS data management programming interfaces are the standard environment to create, manage, load, manipulate and display data. They offer increased security to protect confidentiality, integrity and availability data while allowing you to query measured quantities defined in your formulas. The SAS core file programming interfaces provide access to the entire memory of your computer's main processing unit (CPU).SAS is an acronym for Statistical Analysis System, which is an integrated data management system that includes statistical modeling tools for business intelligence reporting and dashboarding. It was originally developed by SAS Institute Inc. for mainframe computers. The SAS dataset manager (SDM) is a part of the SAS System that is used to manage SAS datasets. It is used to export or import datasets, delete them, and read them into memory for further analysis. SAS is specifically designed to handle large amounts of data; for example, it can handle files containing more than 1.4 petabytes of data. Using the SAS System on a daily basis allows you to perform complex statistical analyses without requiring specific knowledge of statistics or programming languages. Additionally, operators receive immediate feedback when they have made mistakes so that they can correct them before they are too far along in the process for recovery. SAS programmers also have the ability to create output using business graphics. Note: the following references are incomplete. If you have articles, reviews, or books regarding this subject, please update this section with them.SAS is a software application that can be used independently or in combination with other programs to perform interactive data analysis tasks. SAS also provides the means to display graphical representations of data for reporting purposes. It can be used across multiple platforms, but was originally developed for mainframes.The SAS System allows you to process large amounts of data without requiring specific knowledge of statistics or programming languages. You can use it interactively or as part of batch jobs within an operating system shell environment. As an interactive tool, you can produce graphs directly on your computer screen to view data output in an easy-to-read format. SAS supports the ability to create output using business graphics. The SAS System consists of four major components that are used together to analyze your data:The following is a simple example of what you can do with the SAS System:See also GDIPLUS, Tcl/Tk, Mathematica=References= SAS is not only used in research institutes but also in enterprises for making decisions. SAS's strong points are ease of use and good performance. Its software programs provide business intelligence reporting and dashboarding capabilities. cfa1e77820
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