This white paper from Dynatrace explores how data lakehouse architecture enhances IT observability, security, and automation. It explains how lakehouses merge the flexibility of data lakes with the performance of warehouses to deliver scalable, cost-effective, real-time data insights. Features include indexless ingestion, massively parallel processing, and AI-driven contextual analysis. The paper emphasizes unifying logs, metrics, traces, and business data to eliminate silos and improve root cause analysis, automation, and security. Dynatrace’s Grail platform powers this approach, enabling precise, AI-fueled answers and actions at scale.

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