Data Warehouse Implementation: The Dimensions of Fast

WhereScape® RED provides a productivity boost by building, prototyping, and enhancing data warehouses 10 to 100 times faster than traditional products. This white paper examines each of the following factors that influence project duration and speed of delivery:

  • Rapid Development Product
  • Approach
  • Data Availability
  • Key User Availability
  • Governance Framework
  • Team Experience
  • Team Size
  • Technology

To read more, please download the full White Paper below.

Download the Resources

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

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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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EBOOK

WhereScape Helps Implement Data Vault for Leading Healthcare Organizations

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GARTNER REPORT

Unifying WhereScape with Databricks

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ON-DEMAND WEBINAR

WEBCAST | IT-Logix | Exploring Different Levels of Automation for Data-Driven Success

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VIDEO

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