Why run a Data Vault in the Cloud? Dan Linstedt explains all

June 24, 2020
Why run a Data Vault in the Cloud? Dan Linstedt explains all

A new wave of Data Warehouse development is enabling huge leaps in agility and productivity, as teams combine the gains provided by Data Automation tools, Data Vault modelling and Cloud computing.

We are delighted to be partnering with Data Vault Inventor and Founder, Dan Linstedt, and our partners at Scalefree, who for many years have provided consulting services built upon the tenets set out by Dan, as we walk through the advantages of implementing a Data Vault with a Data Automation tool such as WhereScape, and of running the resulting architecture in the Cloud.

During this 60-minute recorded session, you will see:

  • The advantages and agility provided by Data Vault modelling and the Cloud.
  • A live demo of how to implement a Data Vault 2.0 with WhereScape Data Automation.
  • How you can build a Data Vault 2.0 on-prem, then move it onto the Cloud later.

At WhereScape we have seen impressive results for those companies that combine these elements. For example, semi-conductor manufacturer Micron in the USA has built the largest known Data Vault in the world with WhereScape on Snowflake, processing 3.2 trillion records every 24 hours. That’s 2.2 billion records from 10 manufacturing facilities worldwide into a data vault every 60 minutes, with sub-second query response times.

Enter your details to receive your recording

By registering, you confirm that you agree to the processing of your personal data by WhereScape, Inc. as described in the Privacy Statement. WhereScape, Inc. is part of the Idera group and may share your information with its parent company Idera, Inc., and its affiliates. For further details on how your data is used, stored, and shared, please review our Privacy Statement.

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

How PyD Revolutionized Their ERP System with WhereScape Data Automation

Download eBook →
WHITEPAPER

Complimentary Gartner®: How are Organizations Overcoming Issues to Start Their Data Fabric or Mesh?

Read Whitepaper →
ON-DEMAND WEBINAR

Webcast: Capitalizing on 2024 Data Analytic Predictions by Focusing on Cross-functional Value of Automation

Watch Webinar →
VIDEO

Interview: AVP of Enterprise Architecture about Data Automation at Genesee & Wyoming Inc

Watch Video →