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.

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.

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

How PyD Revolutionized Their ERP System with WhereScape Data Automation

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WHITEPAPER

Gartner, Inc. | Quick Answer: What Is Microsoft Fabric?

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ON-DEMAND WEBINAR

The Future of Data Warehousing: Understanding Automation Levels

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VIDEO

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

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