As data generation accelerates—projected to reach 175 zettabytes annually by 2025, with IoT contributing over half—organizations must extract insights faster despite growing complexity. High‑resolution sensors are driving this surge as businesses seek greater efficiency through analytics and automation. The challenge is supporting analytics on massive data volumes without unsustainable costs. Traditionally, companies relied on scaling infrastructure with more servers and DRAM or purchasing high‑performance storage and networking. Now, a new option has emerged that enables more efficient, cost‑effective processing of large, fast‑moving data streams.

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