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Future-proof your data lake with interoperability

Apache Hive laid the foundation for big data analytics, but it wasn’t built for what comes next. As data scales and demands grow for real-time  analytics, AI, and hybrid cloud flexibility, many organizations are hitting the limits with Hive.

Enter Apache Iceberg: an open table format built to overcome Hive’s bottlenecks with support for schema evolution, time travel, and cross-engine interoperability, powering dynamic workloads at scale. Already adopted by leading companies, Iceberg is the new backbone of scalable and AI-ready architectures.

To help you better leverage the benefits of Apache Iceberg and make a seamless transition, our Apache Iceberg experts have pulled together a guide that gives you insights into:

  • The business case for migrating to Iceberg

  • A step-by-step blueprint for migrating your workloads to Iceberg

  • Powering AI and analytics with interoperability

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