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    Data Flow

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    DATA FLOW DIAGRAM - one of the most commonly used modeling tool which graphically represents a system as a network of processes‚ linked together through input and output flow lines and entities. Data flow Components ▪ Process - transformation of data flow into outgoing data flow. It may represent . . - whole system - subsystem - activity ▪ Data store - repository of data in the system It may represent . . . - computer file or

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    data abstruction

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    WEEK-3 Data Abstraction Destructors • Destructors are functions without any type • The name of a destructor is the character ’~’ followed by class name – For example: ~clockType(); • A class can have only one destructor – The destructor has no parameters • Destructor automatically executes when the class object goes out of scope C++ Programming: Program Design Including Data Structures‚ Sixth Edition 2 Data Abstract‚ Classes‚ and Abstract Data Types • Abstraction – i

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    data protection

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    The data protection principles There are eight data protection principles that are central to the Act. The Company and all its employees must comply with these principles at all times in its information-handling practices. In brief‚ the principles say that personal data must be: 1. Processed fairly and lawfully and must not be processed unless certain conditions are met in relation to personal data and additional conditions are met in relation to sensitive personal data. The conditions are

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    Data Breach

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    Americans leave long electronic trails of private information wherever they go. But too often‚ that data is compromised. When they shop—whether online or at brick and mortar stores—retailers gain access to their credit card numbers. Medical institutions maintain patient records‚ which are increasingly electronic. Corporations store copious customer lists and employee Social Security numbers. These types of data frequently get loose. Hackers gain entry to improperly protected networks‚ thieves steal employee

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    Data Handling

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    (1992| Chromium‚ glucose tolerance‚ and diabetes. Anderson‚ R. A. & Kozlovsky‚ A. S. (1985) Chromium intake‚ absorption‚ and excretion of subjects consuming self-selected Chemists (1970) Official M.‚ McMurtry‚ J. P. & Wallace‚ J. C. (1990) Chicken insulin-like growth factor-I: amino acid sequence‚ radioimmunoassay‚ Coleman‚ M. E.‚ Russell‚ L. & Etherton‚ T. D. (1992) Effects of porcine somatotropin (pST) on mRNA levels for GLUT4‚ IGF-1 Dunshea‚ F. R.‚ Bauman‚ D. E.‚ Boyd‚ R. D. & Bell‚ A. W. (1992)

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    Data Science

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    Services E20-007 Data Science and Big Data Analytics Exam Exam Description Overview This exam focuses on the practice of data analytics‚ the role of the Data Scientist‚ the main phases of the Data Analytics Lifecycle‚ analyzing and exploring data with R‚ statistics for model building and evaluation‚ the theory and methods of advanced analytics and statistical modeling‚ the technology and tools that can be used for advanced analytics‚ operationalizing an analytics project‚ and data visualization techniques

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    Big Data

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    billion bytes of data in digital form be it on social media‚ blogs‚ purchase transaction record‚ purchasing pattern of middle class families‚ amount of waste generated in a city‚ no. of road accidents on a particular highways‚ data generated by meteorological department etc. This huge size of data generated is known as big data. Generally managers use data to arrive at decision. Marketers use data analytics to determine customer preferences and their purchasing pattern. Big data has tremendous potential

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    Data Collection

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    Data collection is any process of preparing and collecting data‚ for example‚ as part of a process improvement or similar project. The purpose of data collection is to obtain information to keep on record‚ to make decisions about important issues‚ or to pass information on to others. Data are primarily collected to provide information regarding a specific topic. Data collection usually takes place early on in an improvement project‚ and is often formalized through a data collection plan which often

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    Data Representation

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    Data Representation Data and instructions that are presented in a written or typed format can only be understood by the user. If the data is not in the user’s language‚ s/he will not be able to understand it. It is the same way with the computer; the computer’s language is binary 0s and 1s. The computer cannot understand typed or written instructions or data. Whenever data or instructions or input to the computer it is first converted to 0s and 1s‚ these are called binary digits (bits). There

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    produced and internally used Sales Have weekly sales meetings to report the level of sales‚ returns and new accounts opened within the week Updating knowledge The sales team will update the other members of staff of their knowledge about the sales. Internal Marketing They

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