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    Data Warehouse Testing

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    Data Warehouse Testing By : Kartikey Brahmkshatriya (M.C.A) Index 1. Introduction 3 2. About Data Warehouse 3 2.1 Data Warehouse definition 3 3. Testing Process for Data warehouse: 3 3.1 Requirements Testing : 3 3.2 Unit Testing : 4 3.3 Integration Testing : 4 3.3.1 Scenarios to be covered in Integration Testing 5 3.3.2 Validating the Report data 5 3.4 User Acceptance Testing 5 4. Conclusion 5 Introduction This document details the testing

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    Olap Tools

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    four OLAP tools. The four tools that I have chosen for this are: Pentaho – Open Source Tool Cognos Business Objects SpagoBI Pentaho – Open Source Application “The Pentaho BI Project is an open source application software for enterprise reporting‚ analysis‚ dashboard‚ data mining‚ workflow and ETL capabilities for business intelligence needs” (http://en.wikipedia.org/wiki/Pentaho). The Pentaho Business Intelligence Suite provides reporting on OLAP analyis

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    Data Warehouse Case Study

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    Case Study: A Data Warehouse for an Academic Medical Center Jonathan S. Einbinder‚ MD‚ MPH; Kenneth W. Scully‚ MS; Robert D. Pates‚ PhD; Jane R. Schubart‚ MBA‚ MS; Robert E. Reynolds‚ MD‚ DrPH ABSTRACT The clinical data repository (CDR) is a frequently updated relational data warehouse that provides users with direct access to detailed‚ flexible‚ and rapid retrospective views of clinical‚ administrative‚ and financial patient data for the University of Virginia Health System. This article presents

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    CSE4DWD – Data Warehouse Concepts and Design Assignment‚ Semester 1 2013 (30% of total assessment) Dimensional Modelling Business Case Due Date: 9.30am Friday‚ 17th May 2013 Objectives  To create a Data Warehouse conceptual design using Star Schema Modelling  To document all steps during the design process This is an INDIVIDUAL assignment. You are not permitted to work in a group when writing this assignment. Copying‚ Plagiarism: Plagiarism is the submission of somebody else’s work in a manner

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    Data Center Architecture

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    A Resilient Architecture for Automated Fault Tolerance in Virtualized Data Centers Wai-Leong Yeow‚ C´ dric Westphal‚ e and Ulas C. Kozat ¸ DoCoMo USA Labs‚ 3240 Hillview Ave‚ Palo Alto‚ CA 94304‚ USA e-mail: wlyeow@ieee.org‚ {cwestphal‚kozat}@docomolabs-usa.com Abstract—Virtualization is a key enabler to autonomic management of hosted services in data centers. We show that it can be used to manage reliability of these virtual entities with virtual backups. An architecture is proposed to autonomously

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    John Smith Dr. Daniels 2/14/13 Chapter 5 Video Case 1. Data warehouses store current as well as historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons. REI is building a data warehouse because they want to better serve their customers with their products. The data ware house allows REI to make the customers experience with their company a much more fulfilling one ensuring their return. 2. Consumer cooperatives

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    Data Marts Advantages The implementation of data marts enable users to gain faster access to common data utilizing a technique called dimensional data modeling‚ which optimizes data for reports. For example‚ since data is prepared in common format‚ users with little or not training at all‚ can browse a data mart and obtain information as needed. Data marts can improve end user response time‚ as it contains raw data which allows computer systems to focus on a single task‚ thus‚ improving performance

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    current data to visualize the trend of future. While data is considered authenticated‚ correct data is required for the management to take any further steps. Hence‚ technical personnel will be very concerned about data extraction. Every possibility of erroneous data must be captured. So‚ what we get is that data need to be transformed into valuable information which is possible only when BI team is highly optimized with their tasks. Understanding each and every single details related to data is

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    Huffman Trucking Data Warehouse Jason Raines DBM/502 06/26/2014 Anup Majumder Huffman Trucking Data Warehouse Huffman trucking was founded by K Huffman in 1936 with a single tractor trailer. The massive and fast growth of the company was a direct result of WWII because of the increase in carrier services east to west. “By 1945‚ the fleet had increased in size to 16 tractors and 36 trailers. The business relationship forged with the U.S. Government continues today” (Apollo Group‚ 2012).This growth

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    Networking - Client/Server Architecture Introduction to 2-Tier Architecture 2-tier architecture is used to describe client/server systems where the client requests resources and the server responds directly to the request‚ using its own resources. This means that the server does not call on another application in order to provide part of the service. Introduction to 3-Tier Architecture In 3-tier architecture‚ there is an intermediary level‚ meaning the architecture is generally split up between:

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