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With the data of the fictitious company Willibald and its 13 challenges, a DWH is created with datavaultbuilder. An ideal opportunity to see and evaluate the tool in realistic use. The data of the company Willibald has been explained by DDVUG in session 1 previous lecture.
Prerequisites: Basic Data Warehouse Knowledge
Level: Basic
Extended Abstract:
The fictitious company Willibald has asked Datavault Builder to perform a POC for their new DWH. For this purpose, it has defined 13 typical challenges to be solved. In this talk we will present how the task was solved in Datavault Builder. For this, we agilely create a business model, which is automatically converted into working code. We load and analyse data, present the created documentation and data lineage and give an outlook on how the solution can be rolled out and operated.
About Datavault Builder
Datavault Builder is the award-winning business-driven data warehouse automation solution that allows you to trust your data and trust your decisions.
It is an efficient visual data integration solution replacing up to nine different software tools. Datavault Builder leverages standardization and cooperation between business and IT people as the key to success.
Increase productivity and benefit from the fastest possible time-to-insights without compromising on full auditability.
Petr Beles verfügt über fundierte Erfahrungen in Data-Warehouse-Projekten in den Bereichen Telekommunikation, Finanzen und Industrie. Seit mehreren Jahren führt er als Senior Consultant erfolgreich Projekte mit Data Vault durch. Nachdem er den Bedarf an Automatisierung mit Data Vault erkannt hatte, begann er zusammen mit seinen Kollegen mit der Entwicklung eines Automatisierungstools, das in der Erstellung des Datavault Builders gipfelte. Petr Beles ist heute CEO der 2150 Datavault Builder AG.
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Petr Beles (Data-Vault-Specialist, Senior Consultant) has profound experience in data warehouse projects in the telecommunications, financial and industrial sectors. For several years he has been successfully implementing projects with Data Vault and trains teams in the application of this data modelling technique.