...When hearing the word schema people would not be able to explain what it means, and not realize that they use it in their everyday life. However it’s simple, schema is a concept that helps organize and interpret information. Schemas can be useful, because they allow us to take shortcuts in understanding a large amount of information. However, the concept can also cause us to reject relevant information in favor of information that confirms our pre-existing beliefs and ideas. Schemas can contribute to stereotypes and make it difficult to recall new information. So in order to understand schemas and the effects it has on a person’s life I formed a small case study. To start with, when starting the project, I first asked 10 participants who are in my family as well as my friends to help me in a project for psychology. Secondly I told the participants “I’m going to recite 12 words to you and show you those words at the same time.” The words were: Rest, Tired, Awake, Dream, Snore, Bed, Eat, Slumber, Sound, Comfort, Wake, and Night. After reciting the words I asked each participants what their name, age, and occupation was and when I went back to the list of words it seemed as all the words I recited to them didn’t matter, since they were more focused on the series of questions I asked 30 seconds after reciting the words. Next, I had asked the participants to write all the words they could remember within two minutes, but almost all ten participants had given up within a minute, since...
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...SCHEMATA A schema (pl. schemata or schemas), is a mental structure that represents some aspect of the world. People use schemata to organize current knowledge and provide a framework for future understanding. Schemata influence our attention, as we are more likely to notice things that fit into our schema. If something contradicts our schema, it may be encoded or interpreted as an exception or as unique. Thus, schemata are prone to distortion. They influence what we look for in a situation. They have a tendency to remain unchanged, even in the face of contradictory information. We are inclined to place people who do not fit our schema in a "special" or "different" category, rather than to consider the possibility that our schema may be faulty. As a result of schemata, we might act in such a way that actually causes our expectations to come true. Schemata can influence and hamper the uptake of new information (proactive interference), such as when existing stereotypes, giving rise to limited or biased discourses and expectations (prejudices), may lead an individual to "see" or "remember" something that has not happened because it is more believable in terms of his/her schema. For example, if a well-dressed businessman draws a knife on a vagrant, the schemata of onlookers may (and often do) lead them to "remember" the vagrant pulling the knife. Such distortion of memory has been demonstrated. A schema for oneself is called a "self schema". Schemata for other people are called...
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...Practices Know Where to Go for More Information QlikView is not SQL (SQL Schemas) SQL take a large schema and queries a subset of tables. Each query creates a temporary “Schema” of only a few tables. Query result sets are independent of each other. Query 1 Query 2 QlikView is not SQL (QV Schemas) QlikView builds a smaller and more reporting friendly schema from the transactional database. This schema is persistent and reacts as a whole to user “queries”. A selection affects the entire schema. QlikView is not SQL (Aggregation and Granularity) Store Table Store A B SqrFootage 1000 800 Sales Table Store A A A B B Prod 1 2 3 1 2 Price $1.25 $0.75 $2.50 $1.25 $0.75 Date 1/1/2006 1/2/2006 1/3/2006 1/4/2006 1/5/2006 Select * From Store, Sales Where Store.Store = Sales.Store will return: SqrFootage 1000 1000 1000 800 800 Store A A A B B Prod 1 2 3 1 2 Price $1.25 $0.75 $2.50 $1.25 $0.75 Date 1/1/2006 1/1/2006 1/1/2006 1/1/2006 1/1/2006 Sum(SqrFootage) will return: 4600 If you want the accurate Sum of SqrFootage in SQL you can not join on the Sales table in the same Query! QlikView is not SQL (Benefits) • QlikView allows you to see the results of a selection across the entire schema not just a limited subset of tables. QlikView is not SQL (Benefits) • QlikView allows you to see the results of a selection across the entire schema not just a limited subset of tables. QlikView will aggregate at the lowest level...
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...we will go through different Schema that can be used during Dimensional Modelling to create a Data Warehouse. Before we start with today's topic , For my viewers those who are new to this field i would like to revisit some of the key points of my previous blogs: 1) Business Intelligence is mainly divided into three parts as per my understanding a) Data Warehouse design and Implementation (ETL process) b) Data Analysis (Using OLAP cubes) c) Reporting and Dashboard Creation For further details revisit my First blog 2) Important Components involved in Dimensional Modelling or Data Warehouse Designing a) Fact Tables (Additive Facts, Semi-Additive Facts, Non- Additive Facts) b) Dimension Table c) Grain For further details revisit my Second blog After a thorough revision of previous concepts lets start our today's discussion about different Schema involved in Dimensional Modelling or Data Warehouse Designing. First of all i would like to explain the meaning of the topic i.e Snow Covered Wagon Hitched to a Star = SnowFlake Schema and Star Schema are two types of Schema that are used while designing a Data Warehouse, Hence they can be explained as follows: Star Schema: A Star Schema is one of the simplest and easiest schema to understand. A schema which consists of Dimension tables only attached to Fact tables. A Star Schema get its name from its physical...
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...difference between controlled and uncontrolled redundancy? Illustrate with examples. 1.9. Name all the relationships among the records of the database shown in Figure 1.2. 1.10. Give some additional views that may be needed by other user groups for the database Shown in Figure 1.2. 1.11. Cite some examples of integrity constraints that you think should hold on the Database shown in Figure 1.2. Chapter 2 Database System Concepts and Architecture Review Questions 2.1. Define the following terms: data model, database schema, database state, internal Schema, conceptual schema, external schema, data independence, DOL, OML, SOL, VOL, query language, host language, data sublanguage, database utility, catalog, client/server architecture. 2.2. Discuss the main categories of data models. 2.3. What is the difference between a database schema and a database state? 2.4. Describe the three-schema architecture. Why do we need mappings between? Schema levels? How do different schema definition languages...
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...CIV E 603: Information Modeling and Database Systems Lecture 1 1 What to Study? Introduction to Data base Relational Model Database design Structured Query Language (SQL) 22 Let’s begin the journey !! …. in to fascinating world of databases 23 Today’s outline Database Management System (DBMS) Entity-Relationship (ER) Model 24 What is a database? Many people would like to call it organization… 25 What is a database? Database is a structured collection of related data. Many name it efficiency… 26 A database is A home for data – since that is where data stay… A manager for data – since data are organized neatly… A GOOGLE for data – since a particular record can be found in a snap… A guardian for data – since a database rejects malicious accesses… … 27 What is a Database? Database: is a collection of related data Data: known facts that can be recorded and that have implicit meaning Properties of database: • represents some aspect of the real world (mini-world -UoD) • logically coherent collection of data with some inherent meaning. A random assortment of data cannot correctly be referred to as a database. • designed, built, and populated with data for a specific purpose. It has an intended groups of users. 28 What is a Database? A database can be of any size and of varying complexity. • For example, the list of...
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...Data Warehouse Design: Dimensional Modeling II Data Technology Chularat Tanprasert, Ph.D. Recap Dimensional modeling Popular, useful, and pragmatic approach Based on Kimball Fact table Dimension tables Design process in steps Database Schema Design Star Schema (With Attributes) Example Designs A useful way to learn about data warehouse design principles is by using examples – reuse. Kimball – Data warehouse lifecycle toolkit Adamson & Venerable – Data warehouse design solutions Let’s take a look at inventory, shipments, and financial services. Inventory An inventory system serves as a “middleman” between the manufacturer and the retailer – value adding process. There are threee types of inventory model Inventory snapshot Delivery status Transaction Inventory Snapshot Model For specific time periods, inventory levels are measured and recorded. Delivery Status Model Create one record for each complete shipment of a product to a warehouse. Transaction Model Record every transaction that affects the inventory. Shipments The shipments process is where the product leaves a company and is delivered to a customer. Typically, accompanying each shipment is a shipment invoice. Each line item on the shipment invoice corresponds to an SKU. Shipments Shipments Shipments Financial Services Typically a large bank. Services...
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...to know that whilst on occasion questions may look similar to those in past papers, the context and approach is often significantly different, which means that previous answers cannot simply be restated; thus it is not appropriate to memorise and re-state past paper answers. Additionally, the answer pointers provided here give guidance and are only a guideline and should not be merely quoted by candidates, but applied to the topic of the question.” A1 a) i) Explain the role and structure of a DTD in relation to an xml document. ii) Explain the role and structure of an XML schema in relation to an xml document. iii) Explain how an xml document would call: an internal DTD an external DTD and; an XML schema. b) i) Compare and contrast the workings of a DTD and an xml schema. You should state the benefits of using each. [3 marks] ii) Generate an appropriate sample XML document based on the xml schema in figure 1.1 [2 marks] [2 marks] [3 marks] [2 marks]...
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...RYERSON UNIVERSITY Ted Rogers School of Information Technology Management And G. Raymond Chang School of Continuing Education COURSE OF STUDY 2013-2014 (C)ITM 500 – Data and Information Management 1.0 PREREQUISITE The prerequisite for this course is [(C)ITM100 and (C)ITM207] or (C)ITM 305. Students who do not have the prerequisite will be dropped from the course. 2.0 INSTRUCTOR INFORMATION • • • • • Name: Office Phone Number: E-mail address: Faculty/course web site(s): https://my.ryerson.ca Office Location & Consultation hours: • Your instructor is available for personal consultation during scheduled consultation hours which are posted on their office door or on the course Blackboard site. However, you are advised to make an appointment by e-mail or by telephone before coming to ensure that the professor is not unavoidably absent. • E-mail Usage & Limits: Students are expected to monitor and retrieve messages and information issued to them by the University via Ryerson online systems on a frequent and consistent basis. Ryerson requires that any official or formal electronic communications from students be sent from their official Ryerson Email account. As such emails from other addresses may not be responded to. 3.0 CALENDAR COURSE DESCRIPTION This course provides the students with an introduction to the core concepts in data and information management. It is centered around conceptual data modeling techniques, converting the conceptual data models into relational...
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...About Cognizant Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting and business Process outsourcing services. Cognizant’s single-minded passion is to dedicate our global technology and Innovation know-how, our industry expertise and worldwide resources to working together with clients to make their business stronger. With more than 40 global delivery centers and approximately 61,700 employees as of December 31, 2008, we combine onsite/offshore model infused by a distinct culture of customer satisfaction. A member of the NASDAQ-100 Index and S&P 500 Index, Cognizant is a Forbes Global 2000 company and a member of the Fortune 1000 and is ranked among the top information technology companies in Business Week’s Hot Growth and Top 50 Performers listings Start Today For more information on how to drive your business results with Cognizant, contact us at inquiry@cognizant.com or visit our website at: www.cognizant.com. World Headquarters 500 Frank W. Burr Blvd. Teaneck, NJ 07666 USA Phone: +1 201 801 0233 Fax: +1 201 801 0243 Toll Free: +1 888 937 3277 Email: inquiry@cognizant.com European Headquarters Haymarket House 28-29 Haymarket London SW1Y 4SP UK Phone: +44 (0) 20 7321 4888 Fax: +44 (0) 20 7321 4890 Email: infouk@cognizant.com India Operations Headquarters #5/535, Old Mahabalipuram Road Okkiyam Pettai, Thoraipakkam Chennai, 600 096 India Phone: +91 (0) 44 4209 6000 Fax: +91 (0) 44 4209 6060 Email: inquiryindia@cognizant.com ...
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...CS251-1301B-03 Fundamentals of Database Systems Phase 1 -5 Individual Project Robert March 24th, 2013 Table of Contents Project Outline 3 Description of the Database Design Life Cycle 4 The Entity Relationship Diagram 7 The Logical Model and Normalization 9 The Microsoft Access Database 11 The Microsoft Access Database Application 14 References: 18 Project Outline My idea for a project concept is for a granite fabrication and installation company called MasterStoneWorks. We will perform counter sales, contractor and walk-in customer kitchen and bath design, templates, fabrication, installation, and follow-up. To run efficiently (or at all) we must have a centralized DBMS with access for all employees in order to keep track of the progress of the workload and get the products delivered and installed on time. Issues with the process must be immediately known and corrected as this is a high value product with a small profit margin at this point in our economy. Any miscommunication can be disastrous. The MasterStoneWorks database will have the following tables: * Customers * Sales * Installs * Product choices * Costs (wholesale and retail) * Sales people * Project Managers * Templates * Follow-up * Customer support Description of the Database Design Life Cycle The seven steps of the SDLC/DBDSL: 1. Concept Planning – This first step is where the need to develop, or improve a system is ascertained along...
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...An Extended Entity-Relationship Model for Geographic Applications * Thanasis Hadzilacos Computer Technology Institute, University of Patras Box 1122, GR-26110, Patras, Greece thh@cti.gr Nectaria Tryfona National Center for Geographic Information and Analysis Univ. of Maine, Orono, ME 04469-5711, U.S.A nectaria@spatial.maine.edu Abstract. A special-purpose extension of the EntityRelationship model for the needs of conceptual modeling of geographic applications, called the Geo-ER Model, is presented. Handling properties associated to objects not because of the objects’ nature but because of the objects’ position, calls for dealing -at the semantic modeling levelwith space, location and dimensionality of objects, spatial relationships, space-depending attributes, and scale and generalization of representations. In order to accomplish this in the framework of ER and its derivatives, we introduce special entity sets, relationships, and add new constructs. The rationale as well as examples of usage of the Geo-ER model from actual projects are presented. 1. Introduction Is everybody special or are we all alike? Should we develop applications according to a special methodology for each class of applications, such as medical, business process and geographic, or should we use a single blanket approach for all? Personal preferences and philosophical discussions aside, it does seem that the general purpose side has won most battles in computer science, from hardware to programming languages...
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...7 Object Oriented Approach Logical Models . . . . . . 9 Chapter Three Current Topics in Data Modeling . . . . . . . . . . . 12 Bibliography . . . . . . . . . . . . . . . . . . 14 CHAPTER ONE Abstract Today’s organizations are utilizing their core competencies while exploiting the core competencies of subcontractors to produce highly differentiated and high quality products at a lower cost. Business process reengineering has played a key role in remaining competitive, enabled through information technology. Existence of the automated information system, developed through Systems Analysis and Design, has become a requirement for survival of today’s companies. Process requirements are identified during the analysis phase and documented through logical modeling. A model is an abstraction that represents some aspect of an IS system to be built and may be high level or low level and include system components and their interactions. Modeling is performed by the systems analyst since it aids in identifying requirements and simplifies the many different views of a new...
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...which is a reflection of a person and their different roles interactions with others. A person’s personality, characteristics, appearances, and social qualities is what makes you, it creates a difficult person of knowing and understanding the real you is not so easy. Finally, this image was created in many ways; however, it is influenced by our interactions with significant people in our lives (Cherry, 2013). Each person self consists of characteristic and personality traits distinguish us from other people. The relational of self is having personal relationships with your husband, wife, mother, father, sister, and brother. Self-concept represents the person I am or the person I have become. Self-concept is also made up as one self schema, which works together with self-esteem, self knowledge and the social self from the self as a whole. This includes the past, present, and future self. It represents each person principles of what they might become, what they would like to become, or why they are afraid of trying. As we go through life things are going to change or getting ready to change. There are some changes that are beyond our control,...
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...Dealing with Missing Information in a Data Warehouse Today businesses are investing many resources in building data warehouses and data marts to obtain timely and actionable information that will give them better business insight. This will enable them to achieve, among other things, sustainable competitive advantage, increased revenues and a better bottom line. In the early '90s, data warehousing applications were either strategic or tactical in nature. Trending and detecting patterns was the typical focus of many solutions. Now, companies are implementing data warehouses or operational data stores which meet both strategic and operational needs. The business need for these solutions usually comes from the desire to make near real-time actions in a constantly changing environment while receiving information from both internal as well as external source systems. Dealing with missing or unknown data is critical in these types of environments. Unknowns skew metrics and results to produce incorrect decisions. Knowledge of the unknown allows at least for further examination of any conclusions drawn from incomplete data. Furthermore, in a well-designed business intelligence environment, these unknowns are often resolved later as data that is more complete is entered into the operational systems. Irrespective of the nature of the applications, missing information has always been a problem for data warehouses. As business intelligence environments become more mature, real time and...
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