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    Data Structure Assignment

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    1. ------------------------------------------------- Types of searching 2.1 Binary search tree In computer science‚ a binary search tree (BST) is a node based binary tree data structure which has the following properties: * The left subtree of a node contains only nodes with keys less than the node ’s key. * The right subtree of a node contains only nodes with keys greater than the node ’s key. * Both the left and right subtrees must also be binary search trees. From the

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    Omm Data Cleaning

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    Data Cleansing/Scrubbing The concept of information cleansing / scrubbing is to improve the quality of organizational information and thus the effectiveness of decision making businesses must formulate a strategy to keep information clean. This is a process that weeds out and fixes or discards inconsistent‚ incorrect‚ or incomplete information. Specialized software tools use sophisticated algorithms to parse‚ standardize‚ correct‚ match and consolidate data warehouse information. This is vitally

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    Business Data Analysis

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    ASSIGNMENT 1- BU1007 Question 1 (i) The following data represent the cost of electricity during July 2006 for a random sample of 50 one-bedroom apartment in a large city Electricity Charge ($) | 96 | 157 | 141 | 95 | 108 | 171 | 185 | 149 | 163 | 119 | 202 | 90 | 206 | 150 | 183 | 178 | 116 | 175 | 154 | 151 | 147 | 172 | 123 | 130 | 114 | 102 | 111 | 128 | 143 | 135 | 153 | 148 | 144 | 187 | 191 | 197 | 213 | 168 | 166 | 137 | 127 | 130 | 109 | 139 | 129 | 82 | 165

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    Toc of Data Center

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    Making $€N$€ of Data Center Planning Your Data Center… 1 Introduction Do you agree…. 1. Businesses are increasingly dependent on their IT infrastructures to drive mission-critical operations throughout the enterprise. 2. Significant cost savings can be realized through data center consolidation and right-sizing. 3. And every business needs a business continuity plan that includes disaster recovery‚ backup and remote operations. 4. Continual evolution of infrastructure technology is transforming

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    BIG DATA ANALYTICS

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    Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture‚ curation‚ storage search‚ sharing‚ transfer‚ analysis and visualization. At multiple TERABYTES in size‚ the text and images of Wikipedia are a classic example of big data. As of 2012‚ limits on the size of data sets that

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    Data driven HRIS

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    The Benefits of Being Data-Driven: There are three primary benefits to making your HR organization data-driven: Expanded Awareness: As the amount of HR data within an organization has grown‚ so too has the need to glean better information from that data. Problems that HR organizations assumed were just part of “the cost of doing business” are now identified‚ acted on‚ and in many cases‚ prevented. HR business indicators that were previously only hinted at by virtue of an anomaly here or a trend

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    Data Protection and Confidentiality in the Home based childcare setting By law I am bound to adhere to the Data Protection act of 1998. Every Child and their families have a legal right to privacy; the act is designed to prevent confidential and personal information being passed on without the persons consent. This includes information held on my computer‚ the paperwork I hold on each child and photographs of the children in the childcare setting. It is crucial that I adhere to this act in all

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    Week 11 (i) SAMPLE DESIGN AND SAMPLING PROCESS Introduction Samples are parts or potions of population. A population is the specified total of study elements. A target population‚ also known as the universe‚ includes all the members of a real or hypothetical set of people‚ event or objects to which we wish to generalize the results of our research. A study population is that aggregation of elements from which the sample is actually selected. Sampling means selecting a given

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    Enterprise View of Data

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    useful in Database designing procedure and in conceptual schema design. Designing of a Database is considered as a systematized process that moulds data into a structure which is similar to the underlying system of database management model. Systems of database management are categorized into three main types: hierarchical‚ relational‚ and network. Database design is a process to organize data into a form which matches the underlying data model of the database management system. There are three major

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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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