Posts Tagged ‘Cloud Cost Optimisation’
How To Reduce ETL Costs Without Sacrificing Performance
Cloud providers like AWS are introducing AI-powered cost transparency tools, while ETL vendors remain silent, continuing to profit from opaque, row-based pricing models that penalise efficiency and scale. By switching to performance-based pricing and auditing pipeline usage, data teams can cut ETL costs by up to 50% without sacrificing performance.
Understanding Today’s ETL Pricing Landscape: Column vs Row Approaches
Most ETL pricing models haven’t kept pace with the evolving data landscape, leaving many teams overpaying for row-based processing that penalises growth and efficiency. This blog advocates for a shift toward performance-based pricing aligned with column-oriented processing, offering scalable, transparent cost control that reflects actual infrastructure usage rather than arbitrary metrics.
Data Engineers Don’t Burn Out from Work They Burn Out from Pointless Work
This blog discusses key insights from a Data Matas podcast episode featuring Nik Walker, Head of Data Engineering at Co-op. It explores how data teams can reduce burnout, cut cloud costs, and build trust in their data without overhauling their entire stack. Key themes include eliminating low-value work, right-sizing syncs, prioritising discovery, and fostering psychological safety through structured leadership. The focus is on making smarter choices, not faster ones, to create scalable, resilient data delivery systems that serve both business needs and team wellbeing.