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Data Warehousing in the Cloud

Duration: One Day Course

Prerequisite: None

The data warehouse in the cloud is now a real possibility. It can be built on AWS, Azure, or GCP. It can be combined with onsite systems in a hybrid environment, but how do we understand this vision and make it real?

Join us to discuss this new landscape, a revised approach to building it, and how to tap into its flexibilities to scale up and scale out for machine learning and data science. We will discuss this new system and the new data architecture approach and thinking that it requires.

You Will Learn

  • Cloud fundamentals such as storage, compute, and networking architecture
  • CPU, GPU, in-memory, and disk architecture
  • Cloud platform components, including infrastructure, analytics, and other technologies
  • Business analytics, edge analytics, streaming analytics, and workflow
  • Machine learning, deep learning, and their evolutions
  • Security, privacy, multi-tenancy, and associated skills
  • Risks and pitfalls and how to avoid them
  • A suggested road map and checklists

Geared To

  • All with a knowledge of data warehousing, infrastructure, applications, and delivery

Contact Us to Get Started Today


Yvonne Baho

Yvonne M. Baho Director, Enterprise Learning
Phone: 978.582.7105


"The instructor was very responsive to input from the class and adapted to meet the needs specific to our context. I especially appreciated the many case studies and focus on assessment."

S. Bessias UNC Healthcare

"Very good overall view of DW concepts and provided valuable insight for such a varied audience."

Jerry Bundt Nestle Purina

"This was the best training class I’ve had in my 20 year career."

Tim Grieb Seattle Children’s Hospital

"The instructor did an excellent job and demonstrated an understanding of real world applications."

Sean Dewulf Con-way Freight


Yvonne Baho Yvonne M. Baho
Director, Enterprise Learning
Phone: 978.582.7105
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