Популярное

Музыка Кино и Анимация Автомобили Животные Спорт Путешествия Игры Юмор

Интересные видео

2025 Сериалы Трейлеры Новости Как сделать Видеоуроки Diy своими руками

Топ запросов

смотреть а4 schoolboy runaway турецкий сериал смотреть мультфильмы эдисон
dTub
Скачать

5 most common challenges with Data Vault modelling

Автор: Business Thinking

Загружено: 2022-01-25

Просмотров: 8035

Описание:

Data Vault offers a highly effective data modelling technique for data warehousing. As with anything you learn more with experience. In this presentation, Neil Strange shares some of his insights into the challenges he has seen from dealing with many different types of clients in different industries.

Data modelling is an art rather than a science with the results each data modeller generates being unique. But Neil identifies five specific areas where people make mistakes when using Data Vault 2.0 to tackle data warehousing projects:
Getting started
Modelling to Extreme
Units of Work
Breaking the Standards
Hubs or Links?

Use this video learn from other’s mistakes!

To learn more, join the Global Data Vault community! On platforms such as;

Meetup - https://www.meetup.com/UK-Data-Vault-...

The Data Vault User Group - https://www.ukdatavaultusergroup.co.uk/

Or find us on twitter for regular updates! @ukdvug

5 most common challenges with Data Vault modelling

Поделиться в:

Доступные форматы для скачивания:

Скачать видео mp4

  • Информация по загрузке:

Скачать аудио mp3

Похожие видео

Demystifying Data Vault with dbt - Coalesce 2023

Demystifying Data Vault with dbt - Coalesce 2023

Навигация по хранилищу данных: успех

Навигация по хранилищу данных: успех

MASTERCLASS: Demystifying Data Vault

MASTERCLASS: Demystifying Data Vault

Introduction to Data Vault Modelling with Hans Hultgren

Introduction to Data Vault Modelling with Hans Hultgren

Data Mesh, Data Fabric, Data Lakehouse - SQLBits 2022

Data Mesh, Data Fabric, Data Lakehouse - SQLBits 2022

Data Vault 2.0 – A Method of Business Intelligence

Data Vault 2.0 – A Method of Business Intelligence

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

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

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

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

What is a Data Vault ? | 3NF vs Dimensional model vs Data Vault | Quick Starter Guide in 2023

What is a Data Vault ? | 3NF vs Dimensional model vs Data Vault | Quick Starter Guide in 2023

Data Architecture Strategies –Data Architecture Solution Architecture Platform Architecture

Data Architecture Strategies –Data Architecture Solution Architecture Platform Architecture

Dimensional Modeling

Dimensional Modeling

Unwrap AutomateDV (formerly known as dbtvault) new features this Christmas with Alex Higgs

Unwrap AutomateDV (formerly known as dbtvault) new features this Christmas with Alex Higgs

Dimensional Modeling to Data Vault Evolution

Dimensional Modeling to Data Vault Evolution

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

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

dbtvault: Build a Data Vault 2.0 model using dbt and Snowflake - Improving Talks Series

dbtvault: Build a Data Vault 2.0 model using dbt and Snowflake - Improving Talks Series

Introduction to Data Mesh - Zhamak Dehghani

Introduction to Data Mesh - Zhamak Dehghani

Scaling Data Vault for Federated and Data Mesh Architectures

Scaling Data Vault for Federated and Data Mesh Architectures

Data vault modeling in a complex data environment - Hendrik Ruijter & Anders Lindström

Data vault modeling in a complex data environment - Hendrik Ruijter & Anders Lindström

Data Vault против традиционных архитектур хранилищ данных

Data Vault против традиционных архитектур хранилищ данных

Data Vault Core Constructs by Data Vault Academy

Data Vault Core Constructs by Data Vault Academy

© 2025 dtub. Все права защищены.



  • Контакты
  • О нас
  • Политика конфиденциальности



Контакты для правообладателей: [email protected]