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Given this questions: 1 . _ _ _ _ _ _ _ _ _ is an umbrella term that includes architectures, tools, databases, applications, and
Given this questions: is an umbrella term that includes architectures, tools, databases, applications, and methodologies that are included in a system used to assist organizations in making the optimal decision. A is a central repository of historical data, organized in such a way that access is easy using a Web browser and manipulation for decision support is convenient. is a class of information analysis based on databases that looks for hidden patterns in a collection of data which can be used to predict future behavior. is the science of analysis applied with information technology. is the set of processes used to get data from the data source into the data warehouse. is the delivery of the data via charts, graphs, and images so that the reader may find important information without getting lost in the details that traditional reports focus upon. is a data mining technique used to determine the groups of data that may exist in a set of data based on the characteristics of the data. is a data mining technique that places data instances into particular groups by characteristics usually after the groups or clusters have been identified. is a data mining technique that is used to forecast, classify, and understand data within classes. It is also a heavily used statistical tool that attempts to minimize the sum of the squared errors in its determination of a line through the data class. is a data mining technique which helps to define a set of rules to be used in making decisions based on training and testing data sets. When the data mining technique in the previous question is used with a finite set of variables it generates a When the data mining technique in question is used with a continuous set of variables it generates a is a data mining technique used to determine patterns in a data set such as when product A is purchased it is likely that product B will also be purchased. In the previous data mining method, measure of the performance of an association rule at predicting or classifying cases as having an enhanced response, measured against a random targeting model. In order to perform prescriptive analytics, one needs to first perform and analysis. is a multidimensional data structure that allows users to quickly retrieve the sought after results in a BI environment. is a mathematical model which optimizes the solution of resource allocation problems under which all the relationships are linear. In order to perform text mining, analysts must first apply to unstructured data. data are expressed in numbers continuous or discrete and represent a value. data are categorical, and while they may be expressed in numbers as well, these numbers would only be ordinal or nominal. Prescriptive analytics are primarily about these two techniques: and What four characteristics separate Big Data from other BI data: and is a Big Data distributed file system built on many inexpensive servers that provide redundancy and quick response to queries based on massive volumes of data. is a programming model that allows a programmer to write a program which gets processed on the many inexpensive distributed servers and the results are returned and accumulated for the user. is a new database model for storing and processing discrete multistructured Big Data for end users or automated Big Data applications. is a new Big Data position in which the employee needs to be skilled at statistics, technology, business and communications.
Given this questions:
is an umbrella term that includes architectures, tools, databases, applications, and methodologies that are included in a system used to assist organizations in making the optimal decision. A is a central repository of historical data, organized in such a way that access is easy using a Web browser and manipulation for decision support is convenient. is a class of information analysis based on databases that looks for hidden patterns in a collection of data which can be used to predict future behavior. is the science of analysis applied with information technology. is the set of processes used to get data from the data source into the data warehouse. is the delivery of the data via charts, graphs, and images so that the reader may find important information without getting lost in the details that traditional reports focus upon. is a data mining technique used to determine the groups of data that may exist in a set of data based on the characteristics of the data. is a data mining technique that places data instances into particular groups by characteristics usually after the groups or clusters have been identified. is a data mining technique that is used to forecast, classify, and understand data within classes. It is also a heavily used statistical tool that attempts to minimize the sum of the squared errors in its determination of a line through the data class. is a data mining technique which helps to define a set of rules to be used in making decisions based on training and testing data sets. When the data mining technique in the previous question is used with a finite set of variables it generates a When the data mining technique in question is used with a continuous set of variables it generates a is a data mining technique used to determine patterns in a data set such as when product A is purchased it is likely that product B will also be purchased. In the previous data mining method, measure of the performance of an association rule at predicting or classifying cases as having an enhanced response, measured against a random targeting model. In order to perform prescriptive analytics, one needs to first perform and analysis. is a multidimensional data structure that allows users to quickly retrieve the sought after results in a BI environment. is a mathematical model which optimizes the solution of resource allocation problems under which all the relationships are linear. In order to perform text mining, analysts must first apply to unstructured data. data are expressed in numbers continuous or discrete and represent a value. data are categorical, and while they may be expressed in numbers as well, these numbers would only be ordinal or nominal. Prescriptive analytics are primarily about these two techniques: and What four characteristics separate Big Data from other BI data: and is a Big Data distributed file system built on many inexpensive servers that provide redundancy and quick response to queries based on massive volumes of data. is a programming model that allows a programmer to write a program which gets processed on the many inexpensive distributed servers and the results are returned and accumulated for the user. is a new database model for storing and processing discrete multistructured Big Data for end users or automated Big Data applications. is a new Big Data position in which the employee needs to be skilled at statistics, technology, business and communications.
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