Extract, Transform, and Load data from Legacy Systems to Azure Cloud

Bibliographic Details
Main Author: Jephte, Ioudom Foubi
Publication Date: 2021
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/118629
Summary: Internship report presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Knowledge Management and Business Intelligence
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spelling Extract, Transform, and Load data from Legacy Systems to Azure CloudModern data platformData lakeDelta lakeData integrationData transformationData loadingInternship report presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Knowledge Management and Business IntelligenceIn a world with continuously evolving technologies and hardened competitive markets, organisations need to continually be on guard to grasp cutting edge technology and tools that will help them to surpass any competition that arises. Modern data platforms that incorporate cloud technologies, support organisations to strive and get ahead of their competitors by providing solutions that help them capture and optimally use untapped data, and scalable storages to adapt to ever-growing data quantities. Also, adopt data processing and visualisation tools that help to improve the decision-making process. With many cloud providers available in the market, from small players to major technology corporations, this offers much flexibility to organisations to choose the best cloud technology that will align with their use cases and overall products and services strategy. This internship came up at the time when one of Accenture’s significant client in the financial industry decided to migrate from legacy systems to a cloud-based data infrastructure that is Microsoft Azure cloud. During this internship, development of the data lake, which is a core part of the MDP, was done to understand better the type of challenges that can be faced when migrating data from on-premise legacy systems to a cloud-based infrastructure. Also, provided in this work, are the main recommendations and guidelines when it comes to performing a large scale data migration.Pinheiro, Flávio Luís PortasRUNJephte, Ioudom Foubi2021-06-01T10:02:12Z2021-05-202021-05-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/118629TID:202731391enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:53:36Zoai:run.unl.pt:10362/118629Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:24:48.817649Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Extract, Transform, and Load data from Legacy Systems to Azure Cloud
title Extract, Transform, and Load data from Legacy Systems to Azure Cloud
spellingShingle Extract, Transform, and Load data from Legacy Systems to Azure Cloud
Jephte, Ioudom Foubi
Modern data platform
Data lake
Delta lake
Data integration
Data transformation
Data loading
title_short Extract, Transform, and Load data from Legacy Systems to Azure Cloud
title_full Extract, Transform, and Load data from Legacy Systems to Azure Cloud
title_fullStr Extract, Transform, and Load data from Legacy Systems to Azure Cloud
title_full_unstemmed Extract, Transform, and Load data from Legacy Systems to Azure Cloud
title_sort Extract, Transform, and Load data from Legacy Systems to Azure Cloud
author Jephte, Ioudom Foubi
author_facet Jephte, Ioudom Foubi
author_role author
dc.contributor.none.fl_str_mv Pinheiro, Flávio Luís Portas
RUN
dc.contributor.author.fl_str_mv Jephte, Ioudom Foubi
dc.subject.por.fl_str_mv Modern data platform
Data lake
Delta lake
Data integration
Data transformation
Data loading
topic Modern data platform
Data lake
Delta lake
Data integration
Data transformation
Data loading
description Internship report presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Knowledge Management and Business Intelligence
publishDate 2021
dc.date.none.fl_str_mv 2021-06-01T10:02:12Z
2021-05-20
2021-05-20T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/118629
TID:202731391
url http://hdl.handle.net/10362/118629
identifier_str_mv TID:202731391
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833596675277455360

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