IT leaders and data architects are presented with an abundance of architecture patterns and enabling technologies to choose from when modernizing their data infrastructure. Unisphere and DBTA, in partnership with Radiant Advisors, gathered real-world experts to discuss and evaluate popular data architecture plans in DBTA’s recent webinar. The survey results showed that the top five drivers for considering and adopting a new data architecture were increased operational real-time analytics, enabling AI and ML analytics use case adoption, increased analytics performance, scalability, and agility, enabling broader analytics and self-service, and having an integrated data management platform. Jonathan Thornbury argued that putting analytics ahead of data management and risk, from an architecture standpoint, doesn’t make sense.
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