Modernizing Data Platforms for AI/ML and Gen AI

Existing Hadoop environments constrain business agility through their fragmented architecture. On-premises Hadoop deployments often require coordinating 10+ separate Hadoop components, each with its own development cycle and expertise needs. This complexity makes organizations reluctant to implement changes as systems grow, with modifications often causing cascading issues that increase technical debt. Cloud-based Hadoop options—such as Cloudera’s Data Platform (CDP) offering—reduces some infrastructure challenges but maintains the same fundamental deployment complexity

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Modernizing Data Platforms for AI/ML and Gen AI

@Teradata

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