Data engineering leads, infrastructure architects, and analytics platform owners at organizations running Hadoop or HDFS who are evaluating a migration path to a modern, decoupled lakehouse without a disruptive rip-and-replace.
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The three-stage migration approach, Dremio as query layer first, HDFS-to-MinIO data migration second, Hive-to-Iceberg conversion third, lets organizations improve analytics performance immediately without disrupting existing data or applications, with each stage delivering independent value.
MinIO AIStor maintains the full namespace and prefix structure of HDFS during migration, meaning Spark and other applications can switch from HDFS URLs to S3A connector access with no changes to data organization or application logic.
Nomura achieved over 50% query performance improvement and simplified hybrid infrastructure by running MinIO on-premises alongside S3 in the cloud, with Dremio clusters on both EKS and on-premises Kubernetes federating both environments, while retaining all existing Spark pipelines and Jupyter notebook workflows unchanged.
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