An Oracle White Paper July 2010 Data Masking Best Practices Oracle White Paper—Data Masking Best Practices Executive Overview ........................................................................... 1 Introduction ....................................................................................... 1 The Challenges of Masking Data ....................................................... 2 Implementing Data Masking .............................................................. 2
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Collecting‚ Reviewing‚ and Analyzing Secondary Data WHAT IS SECONDARY DATA REVIEW AND ANALYSIS? Secondary data analysis can be literally defined as second-hand analysis. It is the analysis of data or information that was either gathered by someone else (e.g.‚ researchers‚ institutions‚ other NGOs‚ etc.) or for some other purpose than the one currently being considered‚ or often a combination of the two (Cnossen 1997). If secondary research and data analysis is undertaken with care and diligence
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1. Why can we state that Rolls Royce has become a service provider? What kind of services do they offer? At first‚ Rolls-Royce only sold engines while support and maintenance activities were mostly licensed out to other companies. Rose‚ the CEO of Rolls-Royce at that time‚ recognized however the revenue potential from after-sales services and decided to head in a new direction. He created a highly customer-centric business model that combined manufacturing and services. The central concept they
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2nd assignment: make a moodboard with 7 pictures selected in shape. You have used the following tools: Lasso - magnetic and polygonal Quick selection tool- magic wand tool Eraser- background and magic eraser. Pen Quick mask mode 3rd assingment: make a pattern with photoshop and an illustration from a fashionpicture. Fill a part of the illustration with your patteren. You have used the following tools: Brush tool + style options Clone stamp Edit> define pattern 4th assingment:
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Answer the following questions to help you reflect on whether or not you use a more proactive or reactive language. Save document as 4.9 Proactive vs. Reactive and submit via the assignment link provided. This assignment counts 100 points. 1. I think my language is mostly: (proactive or reactive?) I think my language is mostly proactive. I try to look at life with an “I can do” attitude. 2. Some phrases I use a lot that is proactive is: “I choose”‚ “I will”‚ “Let’s look at what we
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and cross talk on a cabling medium are factors that prevent the accuracy of transmitted data to be intact. For these reasons different encoding methods exist. An example is when 2 wires are used to transmit music data to a speaker Digital signals don’t always have to be carried over to the receiving end by electricity‚ light can also be used for digital communication. Fibre Optics use light to transmit data through optical fibre within the cable. The strength of the light ray can also be a determining
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c. ratio scale d. interval scale 2. Data obtained from a nominal scale a. must be alphabetic b. can be either numeric or nonnumeric c. must be numeric d. must rank order the data 3. In a post office‚ the mailboxes are numbered from 1 to 4‚500. These numbers represent a. qualitative data b. quantitative data c. either qualitative or quantitative data d. since the numbers are sequential‚ the data is quantitative 4. A tabular summary of a set of data showing the fraction of the total number
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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of
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1) ________ is data that has been organized or presented in a meaningful fashion. 1) _______ A) A number B) Information C) A symbol D) A character 2) Which of the following is NOT one of the four major data-processing functions of a computer? 2) _______ A) storing the data or information B) gathering data C) analyzing the data or information D) processing data into information
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Data Mining On Medical Domain Smita Malik‚ Karishma Naik‚ Archa Ghodge‚ Shivani Gaunker Shree Rayeshwar Institute of Engineering & Information Technology Shiroda‚ Goa‚ India. Smilemalik777@gmail.com; naikkarishma39@gmail.com; archaghodge@gmail.com; shivanigaunker@gmail.com Abstract-The successful application of data mining in highly visible fields like retail‚ marketing & e-business have led to the popularity of its use in knowledge discovery in databases (KDD) in other industries
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