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Modern data platforms must support massive data growth while processing incoming data at extreme speeds. With millions of events per second, shifting access patterns, and petabyte-scale retention, traditional storage architectures struggle to keep up. This episode looks at storage architectures across on-premises, cloud, and hybrid environments that are designed to handle high-speed data flow, unpredictable workloads, and long-term growth, treating storage as an adaptive system rather than a static layer. Key points include:

• Examine modern data handling approaches including tiering, buffering, and object storage
• Explore storage as an adaptive, workload-driven system
• Learn practical techniques for managing data as it enters a system at very high speeds
• Understand how access patterns drive architectural decisions
• Discover strategies for building resilient and efficient storage systems at scale