1. With necessary diagram explain about data warehouse development life cycle . Ans : Introduction to data warehouses. Data warehouse development lifecycle (Kimball’s approach) Q. 2. What is Metadata ? What is it’s uses in Data warehousing Archietechture ? Ans : In simple terms‚ meta data is information about data and is critical for not only the business user but also data warehouse administrators and developers. Without meta data‚ business users will be like tourists left
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Using Data Flow Diagrams Data flow diagram is used by system analyst to put together a graphical representation of data processes throughout the organization. It depicts the broadest possible overview of system inputs‚ processes‚ and outputs. A series of layered data flow diagrams may be used to represent and analyze detailed procedures in the larger system. By using combinations of only four symbols‚ the system analyst can create a pictorial depiction of processes that will eventually provide
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Data Warehousing Failures Eight studies of data warehousing failures are presented. They were written based on interviews with people who were associated with the projects. The extent of the failure varies with the organization‚ but in all cases‚ the project was at least a disappointment. Read the cases and prepare a one or two page discussion of the following: 1. What’s the scope of what can be considered a data warehousing failure? Discuss. 2. What generalizations apply across
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Data versus Information Elisha Hawkins-Beason Cis/105 May 23‚ 2013 Dennis Puckett Introduction The frequency of the use of the words data and information are very high in our daily lives. Depending on the context the meanings and use of these words differ. Both data and information are types of knowledge or something used to attain knowledge. Through used interchangeably‚ there are many differences between the meanings of these two words. Data refers to the lowest abstract or a raw input
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briefly explain the quantitative data collection. Data collection is often costliest and the most time consuming portion of study.Quantitative research is an approach for testing objective theories by examining the relationship among variables.The data collection method in quantitative research is in structured manner which involves decent planning of data collection. The planning of data collection process involves certain steps as follows: Identification of data needs. Selecting types
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DATA MINING REPORT A Comparison of K-means and DBSCAN Algorithm Data Mining with Iris Data Set Using K-Means Cluster method within Weak Data Mining Toolkit. Team Task ......................................................................................................................................... 3 1.0 Introduction ................................................................................................................................. 3 2.0 Related Works ................
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and parentheses. Unlike a sub routine‚ because a function returns a value‚ you should/must specify the type of value the function will produce. To give this information‚ on the right side of the closing parentheses‚ type the As keyword‚ followed by a data type. To indicates where a function stops‚ type End Function. Based on this‚ the minimum syntax used to create a function is: Function FunctionName() As DataType End FunctionThe name of a function
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BOC-008-0312/2007 DATA COLLECTION METHODS Methods of data collection. The term data means groups of information that represent the qualitative or quantitative attributes of a variable or set of variables. Data are typically the results of measurements and can be the basis of graphs‚ images‚ or observations of a set of variables. Data are often viewed as the lowest level of abstraction from which information and knowledge are derived. Data can be classified into primary and secondary data. In order to
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Organizational Theory and Design Case Study Analysis Rondell Data Corporation Case Analysis Abstract: The analysis of Rondell Data Corporation situation and discrepancies that were experienced throughout the company life cycle will help understanding the theory and design of organizations . By exploring the background of the problem‚ organization ’s functioning‚ the impact of organizational culture on the strategy and success of the company and problem identification‚ recommendations
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Transforming Data into Information Algorithms and Logic for Computer Programming/PRG/211 April 8‚ 2013 Transforming Data into Information What is Data? What is information? Data is facts; numbers; statistics; readings from a device or machine. It depends on what the context is. Data is what is used to make up information. Information could be considered to be the same characteristics I just described as data. In the context of transforming data into information‚ you could assume data is needed
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