Cost-Effective Data Processing Strategies
Description
Identifying strategies for reducing costs in data processing workflows while maintaining performance and scalability.
Level: tech2
Articles Addressing This Problem (2):
Balancing Cost and Reliability for Spark on Kubernetes
The article discusses the development and implementation of Spot Balancer, a tool created by Notion in collaboration with AWS, which optimizes the use...
project
Added: Mar 4, 2026
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650GB of Data (Delta Lake on S3). Polars vs DuckDB vs Daft vs Spark.
The article discusses the challenges of processing large datasets using single-node frameworks like Polars, DuckDB, and Daft compared to traditional...
tech1
Added: Nov 24, 2025
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