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15 Apr 2026
7 Hours of Firefighting: What Google Cloud’s June Outage Really Cost Data Teams
The June 12, 2025 Google Cloud outage revealed a harsh truth: modern data stacks often create more firefighting than innovation, as fragmented toolchains and so-called “managed” services increase maintenance burdens, costs, and risk. Matatika’s Mirror Mode offers a risk-free path out of this cycle b…
15 Apr 2026
Stop Scaling What You Don’t Understand – Data Platform Rebuild
Monzo’s data team, led by John Napoleon-Kuofie, chose to rebuild their data platform from first principles after inheriting over 1,000 inconsistent DBT models, prioritizing clarity and maintainability over scale. Their experience—shared on the Data Matas podcast—underscores a broader industry shift:…
15 Apr 2026
Snowflake vs Databricks Pricing: Who’s Really Playing Fair?
Snowflake and Databricks take fundamentally different pricing approaches—Snowflake offers managed optimisation with less control, while Databricks provides flexibility with greater complexity. The real shift in value lies in adopting warehouse-agnostic, performance-based ETL pricing that aligns cost…
15 Apr 2026
Column vs Row: Why It’s Time to Rethink How You Pay for ETL
Most data teams remain locked into outdated ETL platforms not out of satisfaction, but due to the perceived risk and disruption of switching, yet the real risk lies in doing nothing, especially under inefficient row-based pricing models that punish growth and hinder budgeting. This blog advocates fo…
15 Apr 2026
ETL Commodity – Why Are You Still Paying a Premium?
ETL is no longer a specialised function, it’s a commodity, yet many organisations are still paying inflated prices due to outdated, volume-based pricing models. This blog explores why ETL costs remain high, and how Matatika’s Mirror Mode offers a risk-free path to modern, performance-based pricing.
15 Apr 2026
How to Cut ETL Costs Without Disruption: Proven Strategies from Data Leaders
This blog summarises a LinkedIn Live session addressing how data teams can reduce ETL costs without compromising productivity or rushing into platform migrations. Drawing on insights from experienced industry leaders, it outlines strategies for improving cost visibility, minimising engineering frict…
15 Apr 2026
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 w…
15 Apr 2026
The Underrated Data Source: Why Google Sheets Belongs in Your Modern Data Stack
The Spreadsheet Stigma Exchange rates. Product-to-GL mappings. Feature flags. KPI targets. These aren't edge cases. They're the datasets that power your most important dashboards. And for many teams, the best place to manage them is the tool everyone pretends doesn't belong in production: Google She…
15 Apr 2026
Building Data Platforms That Actually Solve Business Problems
Meet Teddy Bernays Teddy is a highly autonomous Freelance Data Engineer and Google Cloud Trainer who focuses on helping startups and mid-sized companies build efficient, scalable, and cost-effective data platforms. He started his career in the complex world of audio engineering before transitioning …