Related posts for ‘#Blog’
Snowflake Columnar Storage: Why This Architecture Could Cut Your Analytics Costs by 70%
Snowflake’s columnar storage architecture delivers faster analytics and lower costs by scanning only relevant data, compressing storage intelligently, and optimising queries automatically. This design enables significant performance gains and cost reductions across ETL, storage, and compute—transforming how businesses scale data operations and consume insights.
How Smart Data Teams Cut Costs Without Sacrificing Performance
This blog explores how data teams can strategically reduce costs without compromising performance, drawing insights from a recent LinkedIn Live featuring experts from Select.dev, Cube, and Matatika. It outlines five key strategies, from optimising human productivity to safely switching platforms, backed by real-world examples and practical implementation steps.
From Tool Mastery to Systems Design: How Data Engineers Actually Grow
Many data engineers plateau after mastering tools but struggle to scale because they haven't learned to think in systems. This blog explores how transitioning from query writing to system design is the key to sustainable growth, effective mentorship, and resilient analytics platforms.
Why Most SQL Server Data Tools Migrations Fail (And How to Build Better Ones
Many data teams avoid SQL Server Data Tools (SSDT) migrations due to cost, complexity, and risk, leaving them stuck with outdated systems and growing technical debt. Matatika’s Mirror Mode offers a safer, more cost-efficient alternative by enabling secure, isolated testing environments that mirror production without exposing sensitive data or inflating infrastructure costs.
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Most data teams remain locked into outdated ETL platforms not out of satisfaction, but due to the perceived risk and disruption of switching, yet the real risk lies in doing nothing, especially under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 for a shift to performance-based ETL pricing, highlighting how modern approaches reward efficiency, reduce costs by 30-90%, and can be safely trialed via parallel validation methods like Matatika’s Mirror Mode.
Building Data Trust Through Effective ETL Staging Environments
Many teams avoid ETL staging due to cost and complexity, but this leads to production risks and data trust issues. Matatika offers secure, cost-efficient staging with parallel testing, obfuscated data, and performance-based pricing to catch issues early and deploy confidently.
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.
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.
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 friction, and approaching migration decisions with a structured, value-led plan rather than reactive urgency.
Trapped by Your ETL Tool? How Mirror Mode Helps You Switch ETL Tools Without Risk
The blog highlights how legacy ETL tools lock teams into costly, inefficient row-based pricing and risky migrations. Matatika offers a solution with Mirror Mode, allowing companies to run both ETL systems in parallel—risk-free and free until go-live. This eliminates disruption, double payments, and uncertainty. With transparent, performance-based pricing, Matatika typically cuts ETL costs by 40–60% while improving speed and support, giving data and finance teams a safer, smarter path to switch.