Data Vault and Databricks: Automation Techniques, Best Practices, and Use Cases

We are excited to present the recording of an exclusive webcast featuring Kevin Marshbank, Principal Consultant of The Data Vault Shop. In this session, Kevin demonstrates how combining the Data Vault methodology with Databricks, facilitated by WhereScape’s automation tools, can transform your data warehousing strategy.

Learn how leveraging the strengths of Data Vault, Databricks, and WhereScape can help you build agile, scalable, and high-performing data warehouses. Kevin provides insights from real-world examples and practical demonstrations, offering a comprehensive understanding of these powerful technologies.

What You Will Learn:

  • Streamlined Data Warehouse Automation: How to harness the combined power of Data Vault methodology, Databricks, and WhereScape to automate your data warehousing processes.
  • Practical Insights and Actionable Strategies: Gain valuable knowledge on implementing these tools effectively in your organization.
  • Best Practices for Data Projects: Discover proven best practices for ensuring success and efficiency in your own data projects.

Join us to gain valuable insights and enhance your data warehousing strategy with these advanced technologies.

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“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

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"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

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

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

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