T12 EDW Tutorial: Modern Data Warehousing and Analytics in the Cloud

Time: Thursday, March 30th, 11.30am – 2:30pm Pacific Time (PST)/2:30pm – 5:30pm Eastern Time (EST)

This Enterprise Data World (EDW) Digital Tutorial can be purchased on the official conference website, but the live tutorial will occur within the DATAVERSITY Training Center. You will receive your unique login credentials and confirmation once you've registered for this paid Tutorial at: https://edw2023digital.dataversity.net/registration-welcome.cfm

Registration for this Tutorial will also give you access to all active tutorials within the same time slot.

All paid Tutorial registrations include access to the free 2-day program Tuesday-Wednesday. Please note that you will receive separate login instructions for the free program, as it will take place on a different platform than the Tutorials. See your registration confirmation for details.  

The EDW Digital Conference site can be found at: https://edw2023digital.dataversity.net/index.cfm

Tutorial Description

Cloud Data Warehousing and Analytics should be a game-changer, but it can be a bust when companies believe all the hype and misinformation about it. Hampered by these ill-informed expectations an enterprise’s project can fail to meet business/data objectives, be late, and exceed its budget. Its technology architecture becomes littered with too many underperforming products. The prevalent “modern” approaches often commit the sins of copying data as-is into the cloud, throwing everything into a data lake, or loading it all into a cloud DW. Have they never heard of an analytical Data Architecture?

Some key takeaways you'll learn from this tutorial:

• Designing a modern analytical data architecture that enables data progressing through staging, integration, analytics, and distribution to support consistency, management, governance, and productivity.
• Identify an enterprise’s integration and analytic use cases.
• Define the who (people and roles) and what (architecture components) involved in self-service data preparation and BI.
• Review the key technologies needed and plan an iterative implementation timeline.
• Discuss best and pragmatic practices to ensure success.

Speaker: John O’Brien

John O’Brien is the Principal Advisor and Founder of Radiant Advisors. He has a unique perspective on enterprise data and analytics strategies and architecture gained from over 35 years of experience as a practitioner, vendor CTO, and industry analyst. As a recognized thought leader in data strategy and analytics, John has been publishing articles and presenting at conferences in North America and Europe for 20 years. His knowledge in designing, building, and evolving modern data platforms and teams brings real-world insights to each role and phase within a data program. Today, John provides advisory services and mentoring for CIOs/CDOs, and data architects to guide their companies in meeting the demands of next-generation information management, architecture, and emerging technologies.