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Potential Applicants On Data Analysis using Server less Cloud Technology

   

Added on  2020-06-04

7 Pages1906 Words66 Views
Data Science and Big Data
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Potential Applicants On DataAnalysis using Server less cloudtechnology
Potential Applicants On Data Analysis using Server less Cloud Technology_1

TABLE OF CONTENTSINTRODUCTION...........................................................................................................................1Aim.........................................................................................................................................1Objectives...............................................................................................................................1Research Questions................................................................................................................1Big Data...........................................................................................................................................1Server less Technology....................................................................................................................2Distributions.....................................................................................................................................2Apache Cassandra..................................................................................................................2Pros and Cons..................................................................................................................................2Pros.........................................................................................................................................2Cons........................................................................................................................................3Methodology....................................................................................................................................3Technologies and Language used....................................................................................................3Risk using big technology................................................................................................................3Data Governance (GDPR)...............................................................................................................4Expected Outcomes and Conclusion...............................................................................................4Annotated Bibliography...................................................................................................................4REFERENCES................................................................................................................................5
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INTRODUCTIONData analysis, which is also considered as the data analytics is a composed process whichhelps in a multi functioning (Eivy, 2017). Various functions that are included in the same areinspecting, absolving, transforming and a proper modelling of the information and data. Thebasic forte of data analytics is to discover an efficient and appropriate set of data. Also, ifsomething or factor which needs to be modified can be updated and then considering all thefacts, one can reach to a final conclusion. The proposal is about identifying the rate of potentialapplicants on data analysis using server less cloud technologyAimTo understand about investigating potential applicants on data analysis using server lesscloud technologyObjectivesTo analyse the data analytics and investigating potential applicants using server lesscloud technology. To determine the relationship between the data analysis and predicting potentialapplicants.To recommend ways for understanding the impact of server less cloud technology forpredicting the potential applicants.Research QuestionsQ1 What is data analytics and the server less technology associated with it?Q2 What is the relationship between data analytics and predicting the potential applicants?Big DataBig data is considered as the sets of data and information that is enough capable ofmaintaining a huge amount of data processing software's and applications that a basic softwarecannot do. There are various challenging factors that can be considered and get simpler such asthe overall storage of data, sharing of files and other information between systems, modificationsand maintaining specifiable privacy. In this, it involves all the structure, unstructured and thesemi structured data but the focus here is on the unstructured data (Glikson, Nastic and Dustdar,2017). Thus, big data can also be classified as bigger sets consisting of a huge amount ofinformation and data. Also, it can be analysed in a way that it can help in providing efficient andappropriate patterns that can help in making further operating and functioning easier and simpler.1
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