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As organizations scale their AI and analytics efforts, data architecture has become ever more critical to success. Data teams are being asked to deliver faster insights, stronger governance, and AI-ready data, all while keeping costs and complexity in check.
As a result, many are rethinking how they modernize legacy data warehouses, manage hybrid and cloud platforms, improve data engineering productivity, and build reliable foundations for semantic layers and analytics that support better, more robust decision-making.
To cut through the hype and share what is actually working in modern data environments today, DBTA is bringing together industry experts for a special roundtable webinar on February 17th.
Join this interactive discussion to explore:
- Scalable, governed data architectures for analytics and AI
- How teams are unifying data engineering, governance, and AI across hybrid and cloud environments
- Modern architectural patterns, including lakehouse, data products, and semantic layer
- Practical lessons from deployments and modernization initiatives
- Best practices for reliability, cost efficiency, and performance at scale
Reserve your seat today!
Register Now to attend the webinar Modern Data Architecture in Practice: What's Actually Working in 2026. Don't miss this live event on Tuesday, February 17, 11 AM PT / 2 PM ET.
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