How can organizations quickly discover insights in their data and develop deployable data science models? First step: understand how various components of their analytics ecosystem work together to achieve unprecedented value.
Join Radiant Advisors for a discussion surrounding new research that explores solutions and reference architectures for data science platforms on Azure – all in the context of a modern analytics lifecycle.
Ready to dive in and learn how to craft an environment that optimizes capability, efficiency, and stability? Register for this latest Data Science Central Webinar and you will learn:
The stages of the Modern Analytic Lifecycle that support enterprise analytics
The conceptual model for a Modern Data Platform to sustain analytic capabilities
The logical and physical architectures, including frameworks and solutions architecture components, that specify how technology components fit together in the data platform
A demo of Alteryx-based ecosystem architecture patterns that enable enterprise architects to deploy Alteryx on Azure, among other ways to support the modern analytics lifecycle
Hasan Hboubati, Solutions Engineer -- Alteryx
John O'Brien, Principal Advisor and CEO -- Radiant Advisors
Raman Kaler, Sr. Manager, Alteryx Alliance Marketing -- Alteryx
Bill Vorhies, Editorial Director -- Data Science Central