Have you ever wondered how long should it take to convert data into actionable insights? Or how to handle disparate and fast-growing data? What are some of the most common challenges that companies have? The session would take you through a time warp to the past, comparing traditional and characteristics of a modern data architecture. We will together look at some of the most emerging data architectures in today’s world, also share some experiences from the field.
This session aims to discuss most common challenges and solutions due to complex data estate. We will explore some most common used patterns and practices that constitute modern data platform and how it can unlock valuable data insights, reduce time to decision, accelerate adoption of newer technologies and thereby innovation.