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    The general formatting style that should be used will all depend on which resume style I choose. If I choose the Chronological style; that is if I have experience in the field I am applying to‚ I will list my skills first‚ my job experience in date order with the most recent first‚ and my education last. If I choose the Functional style; because of lack of experience or the fact that I may be changing my career path. I would first summarize my qualifications. Secondly‚ I would summarize any

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    Data Warehousing

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    Data Warehousing‚ Data Marts and Data Mining Data Marts A data mart is a subset of an organizational data store‚ usually oriented to a specific purpose or major data subject‚ that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization. Data marts are often derived from subsets of data in a data warehouse‚ though in the bottom-up data warehouse design methodology the data

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    Data Mining

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    Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified

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    Big Data

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    Big DataData Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10‚000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional Data Warehouse

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    Customer Data

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    CUSTOMER DATA In the term of customer data‚ technology now day give a big role to evaluate the concepts by the overall to moving ownership of the customer when they are away from the individual departments and different it at the enterprise level. In the customer relationship management concept‚ individual that in the each department has responsible for the customer. The success factor for Customer Relationship Management (CRM) is by deploying technology that provides various levels of data access

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    Data Handling

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    from animal (1993) Effect of chromium picolinate on growth and serum and carcass traits of growing-finishing Roginski‚ E. E. & Mertz‚ W. (1969) Effects of chromium (ffl) sup plementation on glucose and amino acid metabolism in rats fed SAS Institute Inc. (1982) SAS User ’s Guide: Statistics. SAS In stitute‚ Cary‚ NC. Steele‚ N. C.‚ McMurtry‚ J. P. &. Rosebrough‚ R. W. (1985) Endo crine adaptations of periparturient swine to alteration of dietary Tollet‚ P.‚ Enberg‚ B. & Mode‚ A. (1990) Growth hormone

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    Big Data

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    A glimpse of Big Data Jan. 2013 What is big data? “Big data is not a precise term; rather it’s a characterization of the never ending accumulation of all kinds of data‚ most of it unstructured. It describes data sets that are growing exponentially and that are too large‚ too raw or too unstructured for analysis using relational database techniques. Whether terabytes or petabytes‚ the precise amount is less the issue than where the data ends up and how it is used.”------Cite from EMC’s report

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    Apple Inc

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    | Apple Apple Inc. is one of the most successful companies in the United States and in the world. Apple Inc. is a multinational company that specializes in the manufacturing of electronic equipment like smartphones‚ software and computers. The company is well known to everyone for products like iPhone‚ Macintosh‚ iPad and iPod. Apple came into existence as the joint effort of Steve Jobs and Steve Wozniak. Wozniak was the mind behind the technology while Jobs was mind behind the marketing strategies

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    data integration

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    DATA INTEGRATION Data integration involves combining data residing in different sources and providing users with a unified view of these data. This process becomes significant in a variety of situations‚ which include both commercial (when two similar companies need to merge their databases and scientific (combining research results from different bioinformatics repositories‚ for example) domains. Data integration appears with increasing frequency as the volume and the need to share existing data explodes

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    Big Data

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    number of articles on “big data”. Examine the subject and discuss how it is relevant to companies like Tesco. Introduction to Big Data In 2012‚ the concept of ‘Big Data’ became widely debated issue as we now live in the information and Internet based era where everyday up to 2.5 Exabyte (=1 billion GB) of data were created‚ and the number is doubling every 40 months (Brynjolfsson & McAfee‚ 2012). According to a recent research from IBM (2012)‚ 90 percent of the data in the world has been

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