How AWS Builds a Modern Data Lakehouse Using S3, Iceberg, Glue, and Athena

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The data lakehouse has emerged as the dominant analytics architecture on AWS in 2026, blending the cost efficiency of data lakes with the transactional reliability of data warehouses. Apache Iceberg, an open table format, is the core enabling technology, bringing ACID transactions, row-level updates, schema evolution, and time travel to files stored in Amazon S3. AWS services including Glue for ETL, Athena for SQL querying, and Lake Formation for governance work together to form a complete serverless analytics platform. This architecture eliminates the need to run a traditional data warehouse for most workloads, reducing both cost and vendor lock-in. The stack supports multiple ingestion paths and consumption tools, from Kinesis streaming to QuickSight business intelligence dashboards.

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