The proposed network is designed to serve The Banana Tree Travel Agency and remote site office. The proposed office located in Cairo‚ Egypt will have two employees to better serve their international customers. The second site will have a 12 port patch panel‚ a 12 port Cisco switch‚ a Cisco router‚ and a Cisco ASA. The building adjacent to the main office‚ which is part of the same domain/network‚ will house 10 to 15 more travel agents. I will set up a file server so all users can have access to
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Assignment 3: Business Intelligence and Data Warehouses Instructor Name: Jan Felton CIS 111 6/23/2014 Strayer University: Piscataway Difference between the structure of database and warehouse transaction Database is designed to make transactional systems that run efficiently. Characteristically‚ this is type of database that is an online transaction processing database. An electronic strength record system is a big example of a submission that runs on an OLTP database. An OLTP database is typically
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Multiple Linear Regression Data Mining for Business Intelligence Shmueli‚ Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Topics Explanatory vs. predictive modeling with regression Example: prices of Toyota Corollas Fitting a predictive model Assessing predictive accuracy Selecting a subset of predictors (variable selection) Explanatory Modeling Goal: Explain relationship between predictors (explanatory variables) and target Familiar use of regression in data analysis Multiple linear
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star topology. A network architecture in which a set of clients are connected by a shared communications line‚ called as a bus. A network consists of one central switch‚ hub or computer which acts as a conduit to transmit messages‚ called as a star. Bus networks are the simplest way to connect multiple clients‚ but often have problems when two clients want to transmit at the same time on the same bus. The star topology is a computer network connected via cables to a central
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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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TECHNOLOGICAL UNIVERSITY OF THE PHILLIPINES Ayala Boulevard‚ Ermita Manila‚ Philippines “THE IMPACT OF SOCIAL NETWORK IN OUR EVERYDAY LIFE” SUBMITTED TO: PROF. JONATHAN CAIÑA SUBMITTED BY: Bunsol‚ John Paul Coruna‚ Mark Lorenz Ello‚ Zharlene Nolasco‚ Kaiz Tamayo‚ Rem Raymond INTRODUCTION Background of the Study Social networking sites were already part of our life since we are using it every day. These sites enable us to have a direct interaction between individuals
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Assignment 2: Network Topology Design You are the network manager of a company that has grown from 10 employees to 100 employees in 12 months. Year 2 projected growth is estimated to be 100 additional employees located at a remote location. The aggressive growth has brought about some unique challenges and opportunities. The company has one remote warehouse and no off-site disaster recovery services or servers. The network design remains a non-redundant‚ flat topology. Your assignment must
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Social Networks Do the names MySpace‚ Facebook etc. ring a bell? They probably do because they are some of the most popular sites on the internet today. These sites are all called ’social networking’ sites because they help people meet and discuss things online. Each of these social networking sites has its own strengths: MySpace is especially popular among teenagers‚ Facebook is popular with college age people. The common thread between all of these social networks is that they provide a place
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1.2. ACTIVITIES TIMING AND TOTAL FLOAT To determine timing of activities in the network diagram the following calculations were done for each node: Earliest Start-(ES)‚ Earliest Finish-(EF)‚ Latest Start-(LS) and Latest Finish-(LF). Field and Keller (1998‚ p. 191) ES and EF are found by using the forward pass through the network … from the unique project start node and ends at the unique project completion node. ES is the ending day for the previous node/activity‚ where more than one
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Big data describes innovative methods and technologies to capture‚ distribute‚ manage and analyze larger-sized data sets with high rate and diverse structures that conventional data management methods are unable to handle. Digital data is now everywhere—in every sector public or private‚ economy‚ organization and customer of digital technology. There are many ways that big data can be used to create value across sectors of the global economy. It has demonstrated the capacity to improve predictions
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