Data warehousing and OLAP Swati Vitkar Research Scholar‚ JJT University‚ Rajasthan. Abstract: Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support‚ which has increasingly become a focus of the database industry. Many commercial products and services are now available‚ and all of the principal database management system vendors now have offerings in these areas. Decision support places some rather different requirements on database technology compared
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Don’t forget to check out the Online Learning Center‚ www.mhhe.com/forouzan for additional resources! Instructors and students using Data Communications and Networking‚ Fourth Edition by Behrouz A. Forouzan will find a wide variety of resources available at the Online Learning Center‚ www.mhhe.comlforouzan Instructor Resources Instructors can access the following resources by contacting their McGraw-Hill Representative for a secure password. PowerPoint Slides. Contain figures‚ tables‚ highlighted
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Question1 Quantitative data are measures of values or counts and are expressed as numbers (www.abs.gov.au). In other words‚ quantitative data are data about numeric variables (www.abs.gov.au). Four types of quantitative data are interval‚ nominal‚ ordinal and ratio. Firstly‚ interval scales are numeric scales in which we know not only the order‚ but also the exact differences between the values (www.mymarketresearchmethods.com). Other than that‚ interval data also sometimes called integer is measured
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The Other Side of Data Mining Maral Aghazi – 500287851 November 10th‚2012 ITM 200 Professor Roger De Peiza "As we and our students write messages‚ post on walls‚ send tweets‚ upload photos‚ share videos‚ and “like” various items online‚ we’re leaving identity trails composed of millions of bits of disparate data that corporations‚ in the name of targeted advertising and personalization‚ are using to track our every move” (McKee‚ 2011). Data mining has become extremely prevalent in today’s society
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student’s performance data and use it as a metric to measure a student’s ability to keep on a track that has worked for previous students. The universities collect the data from students from many years to help improve the learning experience of future students so that they may determine a students a current progress in a class and how it compares to others that have preceded them to allow the university to counsel the student if they are falling behind. In “Ethics‚ Big Data‚ and Analytics: A Model
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Introduction This document presents the regression analysis of customer survey data of Hatco‚ a large industrial supplier. The data has been collected for 100 customers of Hatco on 14 parameters. The 14 variables are as follows: * Perceptions of Hatco: This data was collected on a graphic measurement rating scale consisting of a 10cm line ranging from poor to excellent. Indicator | Variable | Description | X1 | Delivery speed | amount of time it takes to deliver the product once an order
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Factors that influence the selection of data collection instruments Data Collection is an important aspect of any type of research study. Inaccurate data collection can impact the results of a study and ultimately lead to invalid results. Data collection methods for impact evaluation vary along a continuum. At the one end of this continuum are quantitative methods and at the other end of the continuum are Qualitative methods for data collection. A data collection instrument is a tool for monitoring
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1) Name and describe data security process. It is about keeping data safe. Many individuals‚ small business and major companies rely heavily on their computer systems. If the data in these computer systems is damaged‚ lost‚ or stolen‚ it can lead to disaster. Key threats to data security. Such process can be done by using Passwords and encryptions. 2) Explain Internet and Intranet with a basic difference Internet is a worldwide system of interconnected computer networks‚ when you connect your
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Analyzing Data IT206 September 2‚ 2011 Don Shultz Analyzing Data The five basic steps that are required for analyzing data using Microsoft Access according to the article by Samuels and Wood (2007. The steps are to gather the data‚ create a database‚ edit and validate data‚ connect data files‚ and perform queries. The first step is to determine exactly what analyzes you want to perform and ensure that you gather all that is needed. Keep in mind to import into Access it has to be formatted
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WEEK 1 WHAT ARE DATA STRUCTURES? WHAT ARE ALGORITHMS? REVIEW OF JAVA AND OOP ENCAPSULATION‚ INHERITANCE‚ POLYMORPHISM CLASSES METHOD INTERFACES DATA STRUCTURES In computer science‚ a data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. Different kinds of data structures are suited to different kinds of applications and some are highly specialized to certain tasks. For example‚ B-trees are particularly well-suited
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