Eckerson: 7 Considerations When Building a Cloud Data Warehouse

Since 2013, the number of companies using the cloud for data warehousing or 131 has increased by nearly 50%, according to a recent survey by Eckerson Group and the Business Application Research Center (BARC). While the cloud is attractive for many reasons including infinite scalability and elasticity, BI teams must address significant issues before taking the plunge.

This checklist report, authored by The Eckerson Group, examines seven challenges that organizations need to consider before implementing a cloud data warehouse, and is designed to help IT teams identify the key questions to ask before implementation, on topics including design and development, hybrid options, data delivery, pricing and more.

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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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WHITEPAPER

Gartner report: Automate Data Warehouse Development for Productivity and Agility

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Webcast: Empowering Business Insights – Leveraging Yellowfin with Your WhereScape Data Mart

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

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