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Data availability is the core problem of scalability in modern systems. As data grows, ensuring it is accessible and usable becomes a massive challenge. Traditional solutions often fall short, leading to bottlenecks and inefficiencies. To truly scale, we need innovative approaches that prioritize data availability without compromising performance. This means rethinking storage, retrieval, and distribution. Only then can we unlock the potential of large-scale data-driven systems.

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