← This weekCase studyData engineering & the warehouse/lakehousedbtAmazon AthenaMoeve has implemented a centralized, serverless system to standardize dbt runs across multiple data lakes using Amazon Athena and other AWS tools. This approach significantly reduces project onboarding time to around 15 minutes, while maintaining proximity of compute resources to data and ensuring loose orchestration coupling.
MyDataWork POV — Moeve's approach to standardizing dbt runs with Amazon Athena sounds efficient, but there's a shadow looming over this rapid onboarding claim. The complexity of coordinating AWS Step Functions, Fargate, and EventBridge in a serverless architecture isn't trivial. One wonders if the 15-minute onboarding includes the inevitable troubleshooting and customization. Without clear evidence on how this setup handles real-world variability and scale across diverse data lakes, the leap from concept to practice feels a bit overconfident.
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MyDataWork users could benefit from Moeve's strategy by leveraging its ability to catalog outputs from dbt and other tools directly in Snowflake or Databricks, streamlining data lake integration without needing specific tool adaptations.
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