Data Warehouse Concepts and Design Contents Data Warehouse Concepts and Design 1 Abstract 2 Abbreviations 2 Keywords 3 Introduction 3 Jarir Bookstore – Applying the Kimball Method 3 Summary from the available literature and Follow a Proven Methodology: Lifecycle Steps and Tracks 4 Issues and Process involved in Implementation of DW/BI system 5 Data Model Design 6 Star Schema Model 7 Fact Table 10 Dimension Table: 11 Design Feature: 12 Identifying the fields from facts/dimensions: MS: 12 Advanced
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WEEK-3 Data Abstraction Destructors • Destructors are functions without any type • The name of a destructor is the character ’~’ followed by class name – For example: ~clockType(); • A class can have only one destructor – The destructor has no parameters • Destructor automatically executes when the class object goes out of scope C++ Programming: Program Design Including Data Structures‚ Sixth Edition 2 Data Abstract‚ Classes‚ and Abstract Data Types • Abstraction – i
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Data mining Data mining is simply filtering through large amounts of raw data for useful information that gives businesses a competitive edge. This information is made up of meaningful patterns and trends that are already in the data but were previously unseen. The most popular tool used when mining is artificial intelligence (AI). AI technologies try to work the way the human brain works‚ by making intelligent guesses‚ learning by example‚ and using deductive reasoning. Some of the more popular
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What Is A Data Dictionary? Per the IBM Dictionary of Computing‚ a data dictionary is a "centralized repository of information about data such as meaning‚ relationships to other data‚ origin‚ usage‚ and format." Essentially‚ it is documentation or data about data in a file or database‚ also called metadata. Typical Items In A Data Dictionary For each field or column in a database table‚ describe the following elements: Item Contents File/Table Name The name of the file or table where
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Types of Data Integrity This section describes the rules that can be applied to table columns to enforce different types of data integrity. Null Rule A null rule is a rule defined on a single column that allows or disallows inserts or updates of rows containing a null (the absence of a value) in that column. Unique Column Values A unique value rule defined on a column (or set of columns) allows the insert or update of a row only if it contains a unique value in that column (or set of columns)
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240 - INTRODUCTION TO DATA PROCESSING/MANGEMENT OF INFORMATION TECHNOLOGY Objectives To give a thorough and up-to-date grounding in the realities of commercial applications of Information and Communication Technologies (ICT’s). To Examine the roles of data‚ information and knowledge within modern business organisations‚ and the roles that information and communication technologies (ICT’s) play in supporting people and groups within organisations. To provide students with a thorough understanding
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Part A 1. What is a data structure? Data structure is a mechanism for storing data and organizing it in some way. The data structures you use in Alice are list and arrays. 2. Which automatically grows in size as you add items to it‚ lists or arrays? The list automatically expands as items are added to it. 3. When you drag a list tile and drop it on top of a placeholder in an instruction‚ a menu will appear. What will be on the menu? A menu appears showing a list of the methods that
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the oppressive nature of governments‚ may also wish to encrypt certain information to avoid suffering the penalties of going against the wishes of those who attempt to control. Still‚ the methods of data encryption and decryption are relatively straightforward‚ and easily mastered. I have been doing data encryption since my college days‚ when I used an encryption algorithm to store game programs and system information files on the university mini-computer‚ safe from ’prying eyes’. These were files
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Census Data 1. The 2010 Census reported 308.7 million people in the United States‚ a 9.7 percent increase from the Census 2000 population of 281.4 million. 2. About 16-17% 3. 42‚148 4. 15.9 % The one thing I find interesting is that the poverty level has risen in percentage. We should help each other out more. Table 59. Households‚ Families‚ Subfamilies‚ and Married Couples: 1980 to 2010 [In thousands‚ except as indicated (80‚776 represents 80‚776‚000). As of March. Excludes
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Big Data Myisha Coleman July 22‚ 2012 Big Data Dr. Dani Babb Big Data The Volvo Car Corporation was founded in 1927. Since that time the company prides itself upon leading its competitors in safety and engineering
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