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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the requirements are strictly enforced; the boundaries are created by which the entry of intruders must be derived within a deterministic time. Therefore the attackers are detected and countermeasure actions are taken by using query processing in data predictor. This shows that various localization algorithms also achieve the same performance while running on proposed framework rather than the traditional localization attempts. The respite of the paper is planned as follows. The context of the system
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era of big data Manage‚ optimize and increase availability of your IBM DB2 for Linux‚ UNIX and Windows database and applications— delivering valuable intelligence to help your business users make informed decisions‚ fast Database management solutions for the era of big data 1 Introduction Accelerate development 2 Optimize performance 3 4 Increase availability 5 Give your business a competitive edge Database management solutions for the era of big data Introduction
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Fig: Architecture of data warehouse Operations Conceiving data as a cube with hierarchical dimensions leads to conceptually straightforward operations to facilitate analysis. Aligning the data content with a familiar visualization enhances analyst learning and productivity.[5] The user-initiated process of navigating by calling for page displays interactively‚ through the specification of slices via rotations and drill down/up is sometimes called "slice and dice". Common operations
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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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Activity 1 Report on Data Management Contents Page Title Page(s) Introduction 4 Why Collect HR Data 4 Types of HR Data and how it supports HR 4 Data Storage and its Benefits 5 Essential UK legislations relating to recording‚ storing and accessing HR data 5-6 Conclusion 6 Reference List 7 Introduction HR data would need to be stored by all organisations due to either legal requirements or internal purposes. This report will uncover
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known as the “Cybercrime Prevention Act of 2012″. SEC. 2. Declaration of Policy. — The State recognizes the vital role of information and communications industries such as content production‚ telecommunications‚ broadcasting electronic commerce‚ and data processing‚ in the nation’s overall social and economic development. The State also recognizes the importance of providing an environment conducive to the development‚ acceleration‚ and rational application and exploitation of information and communications
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The Enterprise Data Model Introduction An Enterprise Data Model is an integrated view of the data produced and consumed across an entire organization. It incorporates an appropriate industry perspective. An Enterprise Data Model (EDM) represents a single integrated definition of data‚ unbiased of any system or application. It is independent of "how" the data is physically sourced‚ stored‚ processed or accessed. The model unites‚ formalizes and represents the things important to an organization
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Data Collection Methods III Questionnaires A questionnaire is a preformatted written set of questions to which respondents record their answers usually within rather closely defined alternatives. Questionnaires are an efficient data collection mechanism when the researcher knows exactly what is required and how to measure the variables of interest. Questionnaires can be administered personally‚ mailed to the respondents‚ or electronically distributed. Guidelines for Questionnaire Design
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Adverse trend and data management Priscilla Hickman HCS/482 February 2‚ 2015 Mathew Taylor Adverse trend and data management Data accessibility is a necessity in the health care system. “Data management is the process of controlling the collection‚ storage‚ retrieval‚ and use of data to optimize accuracy and utility while safeguarding integrity” (Hebda & Czar‚ 2013‚ p.65). Nursing informatics has changed the accessibility of data and decision-making process. Nursing Informatics is the "science
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