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    Data Warehousing and Olap

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    Data warehousing and OLAP Swati Vitkar Research Scholar‚ JJT University‚ Rajasthan. Abstract: Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support‚ which has increasingly become a focus of the database industry. Many commercial products and services are now available‚ and all of the principal database management system vendors now have offerings in these areas. Decision support places some rather different requirements on database technology compared

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    Mining data management

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    Troy Wilson* suggest a way for preserving and enhancing the value of exploration data E very year explorationists‚ industrywide‚ collect billions of dollars worth of data. Yet‚ when it comes time for geologists to extract value from their information‚ they often find that value has been lost through poor practices in data management. There is no reliable record of the data that has been collected or data is not where it should be - it has been misplaced or corrupted. Re-assembling information

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    SOCIOLOGICAL METHODS TYPES OF DATA Sociologists have two types of data available to them: information they have self-generated for their own research purposes (primary data)‚ and already existing data that was not specifically created for sociological purposes (secondary data). Primary data can result from‚ the employment of questionnaires‚ structured‚ semi-structured and unstructured interviews‚ and observation techniques. Secondary data is more or less‚ anything else: statistics produced

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    Data commentary on obesity

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    Colin Andridge Professor Murphy Eng 201 MWF 2:00 3 March 2014 Data Commentary Introduction After reading and evaluating six articles written by experts on obesity‚ the data seems to imply that better educating people about how their behavioral lifestyle choices effect their future and current health is the best solution. The six journal articles evaluated and analyzed include: David Freedman’s article‚ “How to Fix the Obesity Epidemic‚” published in Scientific American in 2011. Green Gregory’s

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    Data protection & security What is Data Protection and Security ? This is the protection of data such as database from accidental‚ unauthorised or malicious access Data Protection Act Data protection Act controls and monitors the way personal and customer information is been used by organisations. The Data Protection Act 1998 (DPA 1998) is an Act of the UK parliament that defines the ways in which peoples information is been handed. 8 Data Protection Act Principles • Data must be Processed

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    A data dictionary is a file that defines the basic organization of a database. A data dictionary has a list of all files in the database‚ the number of records that are in each file‚ the names and types of each field. The data dictionary is hidden from users so that it is not accidentally destroyed. The data dictionary only keeps bookkeeping information and does not actually contain any data from the database. The database management system cannot access data from the database without a data dictionary

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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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    History of Database Processing. Preliminaries  Why is there a need to study File Processing and DBM? Why do we use Databases?  Simply because of ourselves and there is always something that happens around us.   Collect Data Use and Reuse data Historical Perspective Historical Perspective Historical Perspective Historical Perspective The Electronic Age: Diskette Punch Card Why do we Humans desire Databases?  Man has always had the desire to record

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    Evolution of Data Models

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    The Evolution of Data Models The quest for better data management has led to different models that attempt to resolve the file system’s critical shortcomings. Because each data model evolved from its predecessors‚ it is essential to examine the major data models in roughly chronological order. 1.1 The Hierarchical Model A Hierarchical Database Model is a data model in which the data is organized into a tree-like structure. The structure allows representing information using parent/child relationships:

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    Cloud Data Backup

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    Personal Data Using a Cloud Backup Solution” “I have not failed. I’ve just found 10‚000 ways that will not work.” (Thomas Edison). His words take on a new life as we explore the technology of backing up personal data. Choosing the method of backing up computer and mobile device data can be a difficult challenge. There are dozens of data backup solutions available in the market today ranging from external drive backups‚ to cloud backup services. The best solution of backing up personal data is a

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