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The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms — driven largely by the explosive rise of GenAI and large language models.
AI is no longer just an application layer; it's reshaping how data is designed, integrated, and governed. Modernization has shifted from a strategic advantage to a business necessity. To power AI-driven innovation, organizations need intelligent, interconnected data platforms that unify information, enable real-time insights and scale with agility.
Join DBTA and leading technology innovators for a dynamic roundtable exploring the key trends defining modern data architecture in 2026. From real-time integration and data fabrics to governance-by-design and AI-driven automation, you'll gain a clear view of what's next.
What You'll Learn:
- How open, cloud-native architectures are transforming scalability and interoperability
- Why data quality, lineage, and observability are now essential for trustworthy AI
- The growing role of semantic layers, data lakehouses, and data fabrics
- How GenAI and automation are reshaping data engineering and operations
- Expert insights and best practices for building future-ready data ecosystems
Reserve your seat today and prepare your data architecture for the AI era!
Register Now to attend the webinar Top Trends in Modern Data Architecture for 2026. Don't miss this live event on Thursday, February 12, 11 AM PT / 2 PM ET.
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