FastChangeCo’s journey to Data Vault

FastChangeCo is a fictitious company founded in the early 20th century.  

Struggling with today's much more rapidly changing business requirements and dealing with more and more changes in source systems, FastChangeCo repeatedly tried to extend the data warehouse with state-of-the-art technologies to handle all these changes. But at the end of the day, they were not able to keep up with the ambitious goals to meet all the requirements.

In order to meet all these requirements, FastChangeCo decided to create a high-level vision - a goal against which they'll double-check all decisions in the upcoming project. The vision is to be more flexible, more agile, faster and less complex in all upcoming decisions, tasks and implementations.

(The talk will take place on February 29, 2023 at 9:00 am (MST) - the complete DMZ program)

About the Data Modeling Zone

The Data Modeling Zone (DMZ) is the leading event dedicated exclusively to data modeling. After more than 20 successful DMZ conferences worldwide and a pandemic-related break, the DMZ is now returning!

From February 27 to March 1, 2024, DMZ US 2024 will take place in Phoenix, Arizona and will offer a comprehensive program with five key topic areas:

• Skills: Both basic and advanced modeling techniques will be covered here.
• Technologies: This area is dedicated to the latest developments in AI, mesh technologies, cloud applications, lakehouse models, modeling tools and more.
• Case Studies: The main session presents illustrative case studies to provide insights into successful applications of data modeling.
• Evolve: "Pre- and post-workshops" and mini-hackathons give attendees the opportunity to hone their skills and gain hands-on experience.
• Semantics: This topic area is dedicated to graphs, ontologies, context and inference to shed light on the semantic side of data modeling.

Join us as experts and professionals come together at DMZ US 2024 to share knowledge, discuss innovative ideas and shape the future of data modeling.