← This weekAnalysisData engineering & the warehouse/lakehouseAWSDuckDBDuckDB is being used alongside AWS Glue 6.0 to facilitate SQL-centric ETL operations, leveraging a single worker to read Parquet files from Amazon S3 and write to Apache Iceberg tables. This approach is compared to Apache Spark jobs in terms of cost and runtime efficiency.
MyDataWork POV — While the cost-effective promise of pairing DuckDB with AWS Glue for ETL tasks sounds appealing, it leaves the scalability question unanswered. A single worker might suffice for moderate workloads, but scaling this solution to handle enterprise-level data volumes remains unproven. The comparison with Apache Spark is enticing, yet it sidesteps the complexities of real-world data environments where performance under load is the real litmus test.
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