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.
Read the articleThe 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.
Read the articleMany 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.
Read the articleModern 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.
Read the articleRow-based ETL pricing models create unpredictable, disproportionately high costs that penalize business growth, disrupt budgeting, and divert engineering resources from innovation to cost control. Performance-based pricing, aligned with actual infrastructure usage, offers a more predictable and strategic alternative that supports scalable data operations without financial volatility.
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