Data Warehouse Modelling Using Data Vault 2.0 in Fintech Companies | Alumni Talks 2023

Ahmed Samir Imam Mahmoud is from Egypt and graduated from the Software Engineering master's programme in 2021. Before his studies, Ahmed worked in Egypt and Saudi Arabia. During his studies, he was an intern at Swedbank as a software engineer in Group Data Warehouse, where he was promoted to a full-time software engineer. Currently, he is working at Monese as a data engineer. Building a data warehouse could seem easy with the help of multiple mature methodologies (Dimensional modelling and Inmon). However, building an agile data warehouse with a fast market time and the ability to scale is still a challenge that can be solved with Data Vault 2.0. It provides a unique methodology that provides scalability, traceability, auditability and loading speed with parallel processing. It creates a data warehouse model that focuses on collecting business keys in Hubs objects, the relations between the business entities in Links objects and all the descriptive attributes in Satellites objects. Ahmed chose the University of Tartu for many reasons but primarily because Estonia is a digital nation focused on IT and software engineering. Being educated in Estonia is very beneficial for one's career, in Ahmed's opinion. He was impressed with every step starting from applying to the programmes to studying at the university in general. The programme teaches students about the technical aspects of software engineering, data science, systems design, modelling and business and management of software projects. Read more about the MSc in Software Engineering: https://www.ut.ee/software The Alumni Talks series allows future students to hear directly from our international alumni about their experience at the University of Tartu and learn more about a specific topic chosen by the alumni. Follow us on social media: Facebook:   / tartuuniversity   Instagram:   / unitartu   Instagram (scientists):   / unitartuscience   Twitter:   / unitartu   Linkedin:   / university-of-tartu  

The things I wish I knew before I started my first Data Vault Project!
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The things I wish I knew before I started my first Data Vault Project!

Data Warehouse Modelling Using Data Vault 2.0 in Fintech Companies | Alumni Talks 2023
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Data Warehouse Modelling Using Data Vault 2.0 in Fintech Companies | Alumni Talks 2023

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Introduction to Data Vault Modelling with Hans Hultgren

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2. Advanced Modeling: Using DataVault 2.0 on Azure

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Discover the benefits of Event Driven Architecture in and around SAP Business Suite

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High School Student to an Independent Researcher in Science and Technology | Alumni Talks 2023

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Demystifying Data Vault with dbt - Coalesce 2023

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Best of Deep House [2026] | Melodic House & Progressive Flow

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Researching & Applying Process Mining, an Innovative Technology Changing the Way Companies Work

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Understanding the Business of Data Vault 2.0

Build a DV 2.0 Information Mart Based On The Unified Star-Schema
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Build a DV 2.0 Information Mart Based On The Unified Star-Schema

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INTERCEPT Webinar | From European Collaboration to Practical Cybersecurity Solutions | Part 2

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Power BI FULL COURSE for Beginners | Learn Dashboards & Reports Fast!

Agile building of Information using Data Vault 2.0
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Agile building of Information using Data Vault 2.0

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Microsoft Fabric and Power BI - Developer of the Future⚡ [Full Course]

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60 sources and counting: Unlocking microservice integration with dbt and Data Vault - Coalesce 2023

Behind the Hype: Should you ever build a Data Vault in a Lakehouse?
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Behind the Hype: Should you ever build a Data Vault in a Lakehouse?

What is Data Vault? - Understanding Data Vault 2.0 by the inventor himself, Dan Linstedt
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What is Data Vault? - Understanding Data Vault 2.0 by the inventor himself, Dan Linstedt

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Data Vault 2.0 Modeling | Raw Vault Design leveraging the Enterprise Ontology |

Project A Data Modelling Best Practices Part I: How to Model Data in a Data Warehouse?
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Project A Data Modelling Best Practices Part I: How to Model Data in a Data Warehouse?