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Data Centralization For Netflix

2022-04-01Dissertação de mestrado Acesso aberto
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dc.contributor.advisorCastelli, Mauro
dc.contributor.authorZaher, Abdallah Ali
dc.date.accessioned2022-04-05T15:19:36Z
dc.date.available2022-04-05T15:19:36Z
dc.date.issued2022-04-01
dc.descriptionInternship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Sciencept_PT
dc.description.abstractPresently, the amount of data produced every day is truly mind-boggling. There are 2.5 quintillion bytes of data created each day at this current pace and companies are actively generating and collecting it. This data has become of the utmost importance and companies are changing their behavior towards it. Many of these companies nowadays are giving more consideration and time investment into the data analytics area. They have started to figure out a way on how to use their customers’/clients’ data to generate insights and strategies for better futuristic marketing approaches. In order to have a better understanding of the data, these corporations took the initiative to centralize it in an arranged manner so that the analysis will be more organized through the whole procedure. The following internship report studies the transformation of data from its very early stages to the final PowerBi part. This report will discuss specifically the ETL process that the data undergoes from how the data is collected via SSIS packages, treated through T-SQL, and provided as a clean final table to build a PowerBi report from it so that other employees and people who do not have much knowledge about data will be able to see through graphs that explain what the data means and what insights it holds within.pt_PT
dc.identifier.tid202988180pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/135876
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCentralizept_PT
dc.subjectData transformationpt_PT
dc.subjectETL processpt_PT
dc.subjectSSIS packagespt_PT
dc.subjectT-SQLpt_PT
dc.subjectPowerBi reportpt_PT
dc.titleData Centralization For Netflixpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Ciência de Dados e Métodos Analíticos Avançados, especialização em Ciência de Dadospt_PT

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NIMS - Dissertações de Mestrado em Ciência de Dados e Métodos Analíticos Avançados (Data Science and Advanced Analytics)