Automation “Makes the Grade” at Cornell University

| August 25, 2016

WhereScape has experienced great success in working with higher education institutions large and small to build or extend data warehouse and analytic environments with our automation software—often with small development teams and budgets.  Institutions such as Colorado Christian University, Empire State College, University of Washington and Weber State University all use WhereScape’s automation software with great success to deliver value to stakeholders and students.

WhereScape has started an ongoing higher education webinar series to showcase our many customer successes. We invite you to register for our second in a series of webinars focused on the higher education market on September 21 at 4pm ET featuring Cornell University. Tune in to learn how Cornell, one of the nation’s premier colleges, successfully migrated from IBM’s discontinued Cognos Data Manager to WhereScape RED for moving data into Cornell’s Oracle data warehouse. Attend the webinar to hear Cornell Data Warehouse Manager Jeff Christen explain why Cornell has been “very pleased with the automated data integration capabilities and intuitive nature that WhereScape RED provides.”  Tune in to learn how Cornell uses WhereScape RED to:

  • Automate and standardize much of their Oracle data warehouse development
  • Leverage WhereScape ELT architecture and the Oracle database for improved performance
  • Move data into Cornell’s four crucial Oracle data marts
  • Reduce costs due to WhereScape’s developer-based pricing model

Register today to hear why “WhereScape RED is a good for higher ed and a great fit for Cornell.”  For a preview of Cornell’s work with WhereScape and data warehouse automation, watch this short video.

Want Better AI Data Management? Data Automation is the Answer

Understanding the AI Landscape Imagine losing 6% of your annual revenue—simply due to poor data quality. A recent survey found that underperforming AI models, built using low-quality or inaccurate data, cost companies an average of $406 million annually. Artificial...

RED 10: The ‘Git Friendly’ Revolution for CI/CD in Data Warehousing

For years, WhereScape RED has been the engine that powers rapidly built and high performance data warehouses. And while RED 10 has quietly empowered organizations since its launch in 2023, our latest 10.4 release is a game changer. We have dubbed this landmark update...

What is a Cloud Data Warehouse?

As organizations increasingly turn to data-driven decision-making, the demand for cloud data warehouses continues to rise. The cloud data warehouse market is projected to grow significantly, reaching $10.42 billion by 2026 with a compound annual growth rate (CAGR) of...

Simplify Cloud Migrations: Webinar Highlights from Mike Ferguson

Migrating your data warehouse to the cloud might feel like navigating uncharted territory, but it doesn’t have to be. In a recent webinar that we recently hosted, Mike Ferguson, CEO of Intelligent Business Strategies, shared actionable insights drawn from his 40+...

Mastering Data Warehouse Design, Optimization, And Lifecycle

Building a data warehouse can be tough for many businesses. A data warehouse centralizes data from many sources. This article will teach you how to master data warehouse design, optimization, and lifecycle. Start improving your data strategy today. Key Takeaways Use...

Related Content

Want Better AI Data Management? Data Automation is the Answer

Want Better AI Data Management? Data Automation is the Answer

Understanding the AI Landscape Imagine losing 6% of your annual revenue—simply due to poor data quality. A recent survey found that underperforming AI models, built using low-quality or inaccurate data, cost companies an average of $406 million annually. Artificial...