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The modern data platform has a new job. It must power traditional analytics while supporting AI applications, real-time decisions, and rapidly changing workloads without sacrificing performance, control, or trust. For many organizations, that means rethinking architectures built for an earlier generation of data demands.
Join DBTA for a special roundtable webinar examining how data platforms are being redesigned for this new reality. Industry experts will discuss emerging approaches to architecture, integration, performance, governance, and workload management that can provide a more scalable and trusted foundation for innovation.
You'll learn how to:
- Support demanding AI and analytics workloads
- Improve performance across data environments
- Scale compute, storage, and processing efficiently
- Deliver trusted, governed data
- Evaluate emerging platforms and architectures
Register Now to attend the webinar Modern Data Platforms for AI and Analytics: Performance, Scale and Trust. Don't miss this live event on Thursday, November 19, 11 AM PT / 2 PM ET.
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