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Topic
Utilizing Potentials of Data Vault 2.0 - Overcoming bad practices
Description
What are common mistakes when applying Data Vault 2.0 in enterprise data warehouse projects? Do you have questions regarding modeling in Data Vault and the realization of GDPR causes you great difficulties or is your project stuck because you are delivering no business value?
This webinar describes common Anti-patterns of Data Vault, their consequences and the solution to eliminate them from your current or in your future projects.
Tune in and learn more to avoid bad practices and apply simple solutions.
Recording Duration
00:49:00
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Speakers
Lorenz Kindling
Consultant
@
Scalefree International GmbH
Lorenz is working in Business Intelligence and Enterprise Data Warehousing (EDW) with a focus on data warehouse automation and Data Vault modeling. Since 2021, he has been advising renowned companies in various industries for Scalefree International. Prior to Scalefree, he also worked as a consultant in the field of data analytics. This allowed him to gain a comprehensive overview of data warehousing projects and common issues that arise.
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Hi there, You are invited to a Zoom webinar. When: May 10, 2022 02:00 PM Amsterdam, Berlin, Rome, Stockholm, Vienna Topic: Utilizing Potentials of Data Vault 2.0 - Overcoming bad practices Register in advance for this webinar: https://us02web.zoom.us/webinar/register/WN_D3IVyLZjQlWVPDqIEHef9g After registering, you will receive a confirmation email containing information about joining the webinar. ---------- Webinar Speakers Lorenz Kindling (Consultant @Scalefree International GmbH) Lorenz is working in Business Intelligence and Enterprise Data Warehousing (EDW) with a focus on data warehouse automation and Data Vault modeling. Since 2021, he has been advising renowned companies in various industries for Scalefree International. Prior to Scalefree, he also worked as a consultant in the field of data analytics. This allowed him to gain a comprehensive overview of data warehousing projects and common issues that arise.
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