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8 Hidden Costs in Row-Based ETL Pricing (And How to Eliminate Them)
Row-based ETL pricing models conceal hidden costs such as duplicate processing, unchanged record syncing, and development retries, leading to inflated bills that often do not reflect actual data value. Shifting to performance-based pricing aligns costs with real infrastructure usage, enabling predictable budgeting, greater efficiency, and funding for innovation.
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When Kiss Cams Go Wrong: What Astronomer’s PR Crisis Reveals About Vendor Culture
Astronomer’s PR mishap responding to a kiss cam controversy by hiring a celebrity, spotlights a deeper issue in vendor culture: misplaced priorities and poor judgment under pressure. For data leaders, it raises critical concerns about whether vendors invest in engineering excellence or opt for brand theatrics when things go wrong.
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The Conversations Data Leaders Are Planning for Big Data LDN 2025 (But Won’t Admit Publicly)
The real value of Big Data LDN 2025 lies not in vendor pitches or keynote sessions, but in candid corridor conversations among data leaders grappling with vendor fatigue, renewal pressure, and cost consolidation. As budgets tighten and complexity rises, the smartest teams are shifting from reactive tool dependency to proactive strategies that prioritise flexibility, performance-based pricing, and long-term efficiency.
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Your Biggest Budget Line Isn’t Tools – It’s Time Wasted
Many data teams waste budget by misusing senior engineering talent on firefighting tasks and poor tool choices, rather than focusing on high-value, strategic work. High-performing teams prioritise experienced hires, measure business impact, reduce reactive work, and use AI and tools strategically to maximise ROI and team effectiveness.
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The Processing Paradox: Why Row-Based ETL Pricing Ignores How Analytics Actually Works
Modern ETL pricing models often charge based on row counts, which fundamentally misaligns with how analytical systems actually process data—via columnar methods focused on compute efficiency and performance. This disconnect not only creates technical debt and unpredictable costs but also diverts engineering resources away from optimisation and innovation toward managing arbitrary billing constraints.
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