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As organizations try to “get AI right,” the need to rationalize siloed data becomes increasingly important. Data practitioners could put all their data eggs into a single platform basket, but that’s proving impractical. As such, firms are moving to an open model where they maintain control of their data and can bring any compute engine to any of their data. While compelling, the capabilities to govern open data across an entire estate remain immature. Regardless, the move toward open table formats is gaining traction and the point of control in the data platform wars is shifting from the database to the governance catalog.
Moreover, as data platforms evolve, we see them increasingly as tools for analytic systems to take action and drive business outcomes. Because catalogs are becoming freely available, the value in data platforms is also shifting toward tool chains to enable a new breed of intelligent applications that leverage the governance catalog to combine all types of data and analytics, while preserving open access. Two firms, Snowflake and Databricks, are at the forefront of these trends, along with the big 3 U.S. hyperscalers. The outcome will determine the future of AI powered data platforms.
Supercloud 7 explores the critical issues surrounding the next-generation data platform and core organizational considerations, including:
In Case You Missed It
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