This session will include a moderated Q&A featuring questions from the live audience.
There was a time when architects would first design the perfect conceptual data architecture, and only afterwards would they look at the products needed to implement the architecture. Nowadays, to design an efficient, future-proof data architecture, architects must apply a more holistic approach, in which the requirements and the products are looked at concurrently. New products for data storage, processing, and analytics are so different (from more traditional products) with respect to their internal designs and the way they solve technical problems, that if the holistic approach is not applied, those new products are not fully exploited and/or the architecture is unnecessarily complex.
This applies to database servers such as SingleStore, SnowflakeDB, and Starburst, but also data integration tools such as FiveTran, data virtualization tools, and new analytical tools. New technologies can create new business opportunities, but only if they are deployed in the right way. This requires a holistic approach to designing data architectures. Requirements and technologies have to be studied concurrently to develop a successful, future-proof data architecture.