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    Secondary data

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    Secondary data refers to the data which an investigator does not collect himself for his purpose rather he obtains them from some other source‚ agency or office. In other words‚ this data has already been collected by some other source and an investigator makes use of it for his purpose. Secondary data is different from primary data on the basis of the sources of their collection. The difference between the two is relative - data which is primary at one place become secondary at another place.

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    Big Data?

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    Mohammed Al Bittar - 1006091 1.  What is meant by big data? A term used for complex sets of data which becomes very difficult to process‚ manage‚ or capture by commonly-used software. 2. What is meaning of data-driven culture? A culture where decisions made upon analyzing real statistical information. Like how Wal-Mart checks on the weather in order to provide more products to the customers; because their statistical information shows that whenever there is a storm‚ customers by

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    Design and Data

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    There are many key differences that are important to understand between data oriented and process oriented approaches to designing a new system. The system focus of the data views and process views are entirely different. The process view focuses on what the systems supposed to do and when‚ while the data view has a focus on what the system needs to operate. Another noteworthy difference that distinguishes the two views is the design stability. The design stability of a process view is a more limited

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    Data Center

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    Increase Your Data Center Energy Efficiency • Increase Your Data Center Energy Efficiency • Increase Your Data Center Energy Efficiency • Increase Your Data Center Energy Efficiency • Increase Key Best Practices Optimize the Central Plant Quick Start Guide to Increase Data Center Energy How To Start A Problem That You Can Fix Data Center energy efficiency is derived from addressing BOTH your hardware equipment AND your infrastructure. Commit to Improved Design and Operations

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    4 Critical Success Factors to Cleansing Data Abstract: This article briefly recaps the value of quality data in the supply chain and the challenges with today’s automated mass sharing of information with internal and external customers. This article addresses how we all got here and what we can do about it. There are four critical success factors of 1) Scope‚ 2) Team‚ 3) Process and 4) Technology and this article will give you the stepping stones to be successful in cleaning your critical

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    Data Modeling

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    Lecture Notes 1 Data Modeling ADBMS Lecture Notes 1: Prepared by Engr. Cherryl D. Cordova‚ MSIT 1 • Database: A collection of related data. • Data: Known facts that can be recorded and have an implicit meaning. – An integrated collection of more-or-less permanent data. • Mini-world: Some part of the real world about which data is stored in a database. For example‚ student grades and transcripts at a university. • Database Management System (DBMS): A software package/ system to facilitate

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    Data Structures

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    Data Structures and Algorithms DSA Annotated Reference with Examples Granville Barne Luca Del Tongo Data Structures and Algorithms: Annotated Reference with Examples First Edition Copyright c Granville Barnett‚ and Luca Del Tongo 2008. This book is made exclusively available from DotNetSlackers (http://dotnetslackers.com/) the place for .NET articles‚ and news from some of the leading minds in the software industry. Contents 1 Introduction 1.1 What this book is‚ and what

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    Statistical Data Analyses

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    Statistical Data Analyses Graeme Ferdinand D. Armecin‚ MHSS Outline of Presentation     Overview of Research Designs Functions of Statistics Sampling Principles of Analysis and Interpretation (with Computer Package) – Descriptive Statistics – Inferential Statistics Graeme Ferdinand D. Armecin‚ MHSS Statistical Data Analyses Purposes of Research Design   Exploratory/Descriptive Research design – Basic or fundamental in the research enterprise – What is going on? –

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    Data Recovery

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    Data Recovery Book V1.0 (Visit http://www.easeus.com for more information) DATA RECOVERY BOOK V1.0 FOREWORD ---------------------------------------------------------------------------------------------------------------------The core of information age is the information technology‚ while the core of the information technology consists in the information process and storage. Along with the rapid development of the information and the popularization of the personal computer‚ people find information

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    Data Handling

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    (pST) on mRNA levels for GLUT4‚ IGF-1 Dunshea‚ F. R.‚ Bauman‚ D. E.‚ Boyd‚ R. D. & Bell‚ A. W. (1992) Temporal response of circulating metabolites and hormones Evans‚ G. W. (1989) The effect of chromium picolinate on insulin controlled parameters in humans Evans‚ G. W. & Bowman‚ T. D. (1992) Chromium picolinate in creases membrane fluidity and rate of insulin internalization Evock‚ C. M.‚ Etherton‚ T. D.‚ Chung‚ C. S. & Ivy‚ R. E. (1988) Pituitary porcine growth hormone (pGH) and a recombinant Folch

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