Architecting a Modern Data Platform

Organizations require a comprehensive enterprise data cloud platform to modernize applications and utilize machine learning. This research-based session will discuss the components of modern enterprise data stacks, such as dedicated compute, storage, data integration, and streaming, and focus on total cost of ownership. The infrastructure alone for a modern data platform will be a significant cost, so decisions must be made with care.

The webinar will discuss emerging data architecture practices, such as data mesh, data fabric, data lakehouse, and data cloud, which are essential for modernizing applications and addressing data and analytic challenges. By integrating these practices into the environment, organizations can better architect their data platform and achieve the highest return in the coming years.