Prerequisite: None
Enterprise data architectures are evolving, but many organizations still struggle with costly, rigid data warehouses that limit innovation. Without the right data foundation—one that ensures compliance, scalability, and query-ready data—businesses risk falling behind. This session explores how a universal storage layer, combined with high-performance data pipelines, can drive better business outcomes by reducing complexity, lowering total cost of ownership (TCO), and accelerating AI and analytics initiatives.
Join our session to:
- Learn how modern enterprises are shifting from traditional data warehouses to a more flexible and cost-effective data lake approach
- Understand why high-performance data pipelines are critical for achieving query-ready data for AI and analytics
- Discover how automating data movement reduces TCO and operational overhead