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When you have millions of files spread across thousands of partitions, even a simple SELECT query can take 10 minutes just to plan. As seen in this Netflix case study, the system has to discover every single file in the storage system before it can even start executing. The real bottleneck isn't the compute—it's the storage system and how it's organized. Learn why legacy Hive tables fail at this scale and why a new approach is necessary. 🔗 *Watch the full "Apache Iceberg - Under the Hood" deep dive here:* https://www.youtube.com/watch?v=PWD84gK5_O0 Highlights: ✅ Why planning takes 10 minutes before execution begins. ✅ The impact of millions of files on storage discovery. ✅ The real bottleneck: Storage Organization vs. Compute. *Join the Cloudera Community to learn more!* 👉https://community.cloudera.com *Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations.* https://www.cloudera.com #DataEngineering #ApacheIceberg #DataLakehouse #CloudComputing #Shorts #iceberg
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