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AnalysisData engineering & the warehouse/lakehouseAWSApache Iceberg
AWS Big Data Blog · Read source ↗

The article outlines the process of migrating workloads from Google BigQuery to an open lakehouse on AWS using Apache Iceberg and Amazon S3. It details each step of the migration, including assessment, design, conversion, and optimization, while advocating for the benefits of an open lakehouse architecture.

MyDataWork POV — Migrating BigQuery workloads to an open lakehouse on AWS sounds enticing, but the evidence supporting 'future-proofing' claims remains thin. Apache Iceberg promises flexibility, yet the transition's complexity isn't trivial. Each step—assess, design, convert—requires significant expertise, and the promised optimization could become a mirage without meticulous execution. Until we see more concrete success stories, the risk of operational disruption looms larger than the theoretical benefits of an open lakehouse.
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