Patrick Cunningham ITM220-J November 8‚ 2013 Big Data Big Data‚ an inspirational novel about the collection and processing of massive amounts of data was eye-opening and encouraging. This collection of data over a long period of time has been processed and used towards many different aspects throughout the world. Dilemmas such as tracking the H1N1 virus‚ to buying the most inexpensive plane tickets‚ all the way to predicting dangerous manholes explosions have all been processed and tabulated
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Research Project - Data Protection Data can be collected by organisations such as the websites we use daily‚ such as Facebook and Twitter. They have our information such as our age‚ date of birth‚ home address and other personal information which we would not share with strangers‚ and it is their job to protect that data‚ so that it doesn’t get into the wrong hands‚ such as scammers. Organisations may collect information from you in a number of ways‚ over the internet‚ over the phone‚ or also
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WORLD DATA CLUSTERING ADEWALE .O . MAKO DATA MINING INTRODUCTION: Data mining is the analysis step of knowledge discovery in databases or a field at the intersection of computer science and statistics. It is also the analysis of large observational datasets to find unsuspected relationships. This definition refers to observational data as opposed to experimental data. Data mining typically deals with data that has already been collected for some purpose or the other than the data mining
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sorts of people need access to companies’ databases. In addition to a company’s own employees‚ these include the company’s customers‚ potential customers‚ suppliers‚ and vendors of all types. It is possible for a company to have all of its databases concentrated at one mainframe computer site with worldwide access to this site provided by telecommunications networks‚ including the Internet. Although the management of such a centralized system and its databases can be controlled in a well-contained manner
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Abstract Oracle Database 11 g is a comprehensive platform database‚ there are many features of the Oracle product that support different kinds of companies worldwide. This writing assignment will present an overview of some Oracle features. More specifically this paper will focus on the main features of oracle database administration‚ like security‚ indexing constraints and views. Basic user security Security refers to activities and measures to ensure the confidentiality‚ integrity
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STELLA MARIS COLLEGE - DEPARTMENT OF COMPUTER SCIENCE DB34 - Database Management Systems UNIT I : Advantages and Components of a Database Management Systems - Feasibility Study - Class Diagrams - Data Types –Architecture- Events - Normal Forms - Integrity – EER model - Converting Class Diagrams to Normalized Tables - Data Dictionary. UNIT II : Query Basics - Computation Using Queries - Subtotals and GROUP BY Command - Queries with Multiple Tables - Subqueries - Joins - DDL & DML - Testing
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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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DATA COMMUNICATION (Basics of data communication‚ OSI layers.) K.K.DHUPAR SDE (NP-II) ALTTC ALTTC/NP/KKD/Data Communication 1 Data Communications History • 1838: Samuel Morse & Alfred Veil Invent Morse Code Telegraph System • 1876: Alexander Graham Bell invented Telephone • 1910:Howard Krum developed Start/Stop Synchronisation ALTTC/NP/KKD/Data Communication 2 History of Computing • 1930: Development of ASCII Transmission Code • 1945: Allied Governments develop the First Large Computer
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QUESTION BANK - CS6302 DATABASE MANAGEMENT SYSTEMS UNIT I 1. What are the disadvantages of file processing system? 2. Explain the basic structure of a relational database with an example. 3. What do you mean by weak entity set? 4. Give example for one to one and one to many relationships. 5. What is the need of normalization? 6. Write a note on functional dependencies. 7. Who is a DBA? What are the responsibilities of a DBA? 8. What is a data model? List the types of data models used. 9. What are
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5.3.3 Data cleaning Data cleaning helps to remove all unnecessary data. Data cleaning attempts to fill in missing values‚ smooth out noise while identifying outliers and correct inconsistencies in the data. Data cleaning is usually an iterative two-step process consisting of discrepancy detection and data transformation. 5.3.4 Data analysis Data analysis is also known as analysis of data or data analytics‚ is a process of inspecting‚ cleansing‚ transforming and modeling data with the goal of discovering
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