Comparing and Contrasting What this handout is about This handout will help you first to determine whether a particular assignment is asking for comparison/contrast and then to generate a list of...

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Answered Same DayApr 11, 2021

Answer To: Comparing and Contrasting What this handout is about This handout will help you first to determine...

Tanaya answered on Apr 16 2021
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Running Head: COMPARING AND CONTRASTING    1
COMPARING AND CONTRASTING        6
TITLE OF THE PAPER: COMPARING AND CONTRASTING
NAME: ________________
COURSE NUMBER: ________________
Ta
ble of Contents
Introduction    3
Chosen Cases    3
Events of Google and Apple in the Implementation of Big Data    3
Idea and Theories for the Similarities and Dissimilarities    4
Final Analysis    5
Conclusion    6
References    7
Introduction
Business intelligence assists in delivering accurate information by extracting data directly from the source. The main aim of Big Data is to analyze the captured data so that they can be processed. This process will improve the customer outcomes helping the customer in operation system, Dataware house, Dashboard and ERP databases. In the current contrast and comparison study, two case studies of Google and Apple will be selected to understand their process of Big Data implementation and the issues that were faced by the company in the evaluation of the data.
Chosen Cases
The first case selected for the comparison study is Google. Google has been one of the companies that have been introducing to the concept of interpretation and analysis of the Big Data in daily lives. Google usually archive any page that is searched on the Web page. Apple is another technology giant that has been utilizing the user-friendly interface. Very recently, the company had been implementing the use of Big Data in the data analysis process.
Events of Google and Apple in the Implementation of Big Data
Google had been utilizing the Big Data extracted from the Web Index so that the queries can be matched providing potential results. The data are usually collect based on a few trusted sites and a machine algorithm is been build (Marr, 2016). This machine algorithm will help in...
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