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(pdf) IT Infrastructure Management | Assignment

   

Added on  2021-04-17

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Running head: IT INFRASTRUCTURE MANAGEMENTIT Infrastructure ManagementName of the StudentName of the UniversityAuthor’s Note:

1IT INFRASTRUCTURE MANAGEMENTTable of ContentsQuestion 1..................................................................................................................................2Question 2..................................................................................................................................3Question 3..................................................................................................................................4Question 4..................................................................................................................................5Question 5..................................................................................................................................6References..................................................................................................................................8

2IT INFRASTRUCTURE MANAGEMENTQuestion 1i) Electronic Records Management: The complete set of computerized programs,which are designed to store and to track various records, is known as ERM. This is even usedto create as well maintain record.ii) Business Intelligence and Analytics: The amalgamation of several strategies andtechnologies, used by almost all enterprises for analyzing any type of information and datarelated to their business (Fernando, Loke & Rahayu, 2013). All types of technologies, skills and practices to continuously investigate and explorethe existing business performance are known as business analytics. This is mainly utilized togain insight and also to drive the business plan. iii) Data and Text Mining: The practice to test bulk amount of data in the existingdatabases to properly generate new information is known as data mining (Witten et al., 2016).The procedure to obtain high quality of data or information by extracting from text isknown as text mining. The information or data could be extracted by several ways such asstatistical pattern learning. iv) Big Data Analytics and Data Recovery: Big data analytics can be defined as theprocess to test bulk and variable sets of big data to uncover all the concealed patterns,preference of customers and all types of significant information(Chang, 2014). The process to retrieve all kinds of corrupted, damaged, lost, inaccessible andformatted data from any secondary storage or removable media is known as data recovery.This type of data recovery is usually done when data is not retrieved or accessed undernormal circumstances.

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