Webcast: Avoiding the Pitfalls of Implementing Data Vault 2.0

Data Vault 2.0 has become the standard in building large, scalable, and flexible data warehouses. There are, however, many ways of implementing some of the concepts. It’s important to understand the implications of your early decisions in your architecture.

Kevin talks about some key areas:

Myths: Top five reasons why people mistakenly avoid Data Vault 2.0

Architecture: The design of your raw vault is essential to the success of your project. What is a good design? Team skills: Having the skills and experience are critical Tools: What are the best tools to simplify your implementation?

Resistance to change: How do you overcome the cultural resistance to a new methodology?

Whether you’re new to Data Vault or already working with it, this webcast is sure to be insightful and informative.

Enter your details to receive your recording

By filling and submitting this form you understand and agree that the use of WhereScape’s website is subject to the General Website Terms of Use. Additional details regarding WhereScape’s collection and use of your personal information, including information about access, retention, rectification, deletion, security, cross-border transfers and other topics, is available in the Privacy Policy.

Learn more about our unique data productivity capabilities for these leading platforms

Deploy on Microsoft Azure and integrate with Microsoft applications.

Seamlessly work with Amazon Web Services (AWS).

Leverage a complete range of Google infrastructure and data solutions.

Ingest data from multiple sources and deliver more business insights.

DataBricks

Deliver a wider variety of real-time data for Al, ML and data science.

“It took the architects a day and a half to solve all four use cases. They built two Data Vaults on the host application data, linked the two applications together and documented the whole process. This was impressive by any standard. After that it was an easy process to get all the documents signed.”

Daniel Seymore, Head of BI, Investec South Africa

Read Case Study

"At seven months into the project we can say it really worked out. We have been able to really quickly develop an initial MVP for our first country and that was really good. The automation and the changes we needed to do were rapidly applied. We had to remodel a few things and that was done within a day with the automation in WhereScape."

Carsten Griefnow, Senior BI Manager

Read Case Study

"It’s like having five people with only really two people working on it."

Will Mealing, Head of Data & Analytics at L&G

Read Case Study

EBOOK

Achieving Carbon Neutrality: A WhereScape Case Study

Download eBook →
GARTNER REPORT

Unifying WhereScape with Databricks

Read Gartner Report →
ON-DEMAND WEBINAR

On Demand | TDWI | Using Data Automation to Ensure Quality and Trust in Your Analytics System

Watch Webinar →
VIDEO

Loading From Web APIS

Watch Video →