The rapid rise of AI is putting unprecedented pressure on enterprise data systems, revealing the limitations of legacy infrastructure and quick-fix cloud solutions. While cloud technologies have transformed how teams access, scale, and deploy data and analytics, not all workloads belong in the cloud. Regulatory, performance, and cost considerations often require certain data to remain on-premises.
Rather than settling for a fragmented setup that increases complexity and risk, organizations need an intentional hybrid strategy–one designed to unify cloud and on-prem environments, streamline data movement, and support AI wherever it delivers the most value.
Read this ebook to learn:
- What defines a True Hybrid data platform for AI and analytics
- How True Hybrid unlocks flexibility, resilience, and faster time to insight
- Real-world examples of companies reducing migration time, cutting costs, and improving cybersecurity with Cloudera