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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Case Study on Absenteeism Submitted To: Mr. Srinivas Rao Associate Professor – Fashion Management Studies. NIFT‚ Hyderabad. Submitted By: Mr. Sebastian James 1st Semester Student – Fashion Management Studies (2011-2013). NIFT‚ Hyderabad. SUMMARY OF THE CASE STUDY Unique Schweppes
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Data Depth and Optimization Komei Fukuda fukuda@ifor.math.ethz.ch Vera Rosta rosta@renyi.hu In this short article‚ we consider the notion of data depth which generalizes the median to higher dimensions. Our main objective is to present a snapshot of the data depth‚ several closely related notions‚ associated optimization problems and algorithms. In particular‚ we briefly touch on our recent approaches to compute the data depth using linear and integer optimization programming. Although
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TARGET DATA BREACH 2013/14 Introduction There are many types of breaches that can occur when it comes to secure systems and networks. The target breach of 2013/14 was due to human error. It is said that the company had easily stolen credentials. If there was the necessary secure measures taken‚ this breach could have been stopped. Target did not have an adequate firewall which is why the hackers were able to corrupt the system and steal personal information and credit card information. This whole
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LECTURE 7 GRAPHICAL REPRESENTATION OF DATA 1. Pressure versus temperature (P-T) 2. Pressure vs. volume (P-v) 3. Temperature vs. volume (T-v) 4. Temperature vs. entropy (T-s) 5. Enthalpy vs. entropy (h-s) 6. Pressure vs. enthalpy (P-h) The term saturation temperature designates the temperature at which vaporization takes place. For water at 99.6 C the saturation pressure is 0.1 M Pa‚ and for water at 0.1 Mpa‚ the saturation temperature
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Data Trappers‚ Inc. When examining whether or not B&T should be permitted to serve as the independent auditor of Data Trappers‚ Inc. (DTI)‚ we must first look at what it means to be an independent auditor. For an external auditor to be independent they need to be independent of the company they are auditing in both fact and appearance‚ meaning they have to look as if they aren’t connecting to a company in any way and they must also not actually be connected to a company in any way. As well
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EXERCISE 1 TRAFFIC DATA COLLECTION AND PRESENTATION CE 5203 TRAFFIC FLOW AND CONTROL ADITYA NUGROHO HT083276E DEPARTMENT OF CIVIL ENGINEERING NATIONAL UNIVERSITY OF SINGAPORE 2010 Department of Civil Engineering CE 5203 Traffic Flow and Control 1.0 INTRODUCTION The measurement of traffic volumes is one of the most basic functions of highway planning and management. Traffic counting can include volume‚ direction of travel‚ vehicle classification‚ speed‚ and lane position. In this
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Figure 3.0: First Entry Level Data Flow Diagram of Administrator’s Capabilities The figure 3.0 represents the First Entry Level Data Flow Diagram of the Administrator upon successfully logging-in into the Generic Academic Performance Monitoring System. He/she has the capabilities to manage modules such as handling member’s account‚ importing students list‚ creation of grade criteria‚ grade computation and updating website contents Figure 3.1: Second Entry Level Data Flow Diagram on Managing Account
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EE/CS M171L Fall 2010 Raw Data Sheet Lab 3: Data Transmission over 802.11b Wireless LAN Date 2014/02/20 2. Observation: The main goals for the experiment 3 are first‚ to get basic knowledge of various factors affecting data throughput in a wireless channel‚ second‚ to analyze effect of sporadic losses on TCP throughput and finally‚ to familiarize with basic performance measurement tools in computer networks. In order for us to accomplish these goals‚ we conduct
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Analysis of Loan data and relationship with various factors Introduction As we all know the history of loans as old as the history of money. Earlier there used to be different mechanism of lending money and recovering it. In simple terms it was the process in which the people who have more money than they required used to give money to people who didn’t had enough. Over the years with the evolution of economics the loan process became extremely important for the people who made business out of
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