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Extract, Transform, and Load Data from Legacy Systems to Azure Cloud.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Extract, Transform, and Load Data from Legacy Systems to Azure Cloud./
作者:	Jephte, Ioudom Foubi.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	67 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-06, Section: B.
Contained By:	Dissertations Abstracts International83-06B.
標題:	Velocity. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28892435
ISBN:	9798759929598

Extract, Transform, and Load Data from Legacy Systems to Azure Cloud.
Jephte, Ioudom Foubi.

Extract, Transform, and Load Data from Legacy Systems to Azure Cloud. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 67 p.

Source: Dissertations Abstracts International, Volume: 83-06, Section: B.

Thesis (Master's)--Universidade NOVA de Lisboa (Portugal), 2021.

This item must not be sold to any third party vendors.

In 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.

ISBN: 9798759929598Subjects--Topical Terms:

3560495
Velocity.

Extract, Transform, and Load Data from Legacy Systems to Azure Cloud.
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