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Modern data platforms face growing challenges, including siloed systems, rising warehouse costs, lakehouse complexity, and the need for sub-second analytics at scale. In this talk, we discuss how open-source Presto offers a unified, high-performance solution to these practical problems.<br><br>The session covers four useful features that make Presto a key part of modern data engineering:<br><ul><li>Federated querying across databases, object stores, and streaming systems without moving data. </li><li>Lakehouse-ready performance, with support for table formats like Iceberg, Hudi, and Delta. </li><li>Cost-efficient analytical acceleration that reduces the need for costly proprietary warehouses. </li><li>Proven tuning methods that lead to significant improvements in concurrency, latency, and resource efficiency. </li></ul>
