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Breaking Free from Costly Data Migration Framework Cycles
Many businesses face recurring data migrations that offer little strategic value. This blog outlines how a robust data migration framework can reduce disruption, optimise costs, and ensure long-term operational success.
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Scaling Data Pipeline Architecture Without Excess Cloud Costs
This blog explores how to build and optimize a scalable data pipeline architecture without losing sight of budget control. It shares practical insights from AWS expert Jon Hammant to help organisations reduce costs, enhance efficiency, and avoid vendor lock-in.
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How to Deliver a Zero-Risk ETL Transformation
The term “zero-risk ETL transformation” may sound ambitious, but it’s real, proven, and achievable. With Matatika’s phased rollout, rigorous testing, transparent pricing, and post-deployment efficiency, it’s no longer a buzzword, it’s best practice. ETL doesn’t have to be hard. It just has to be done right.
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7 Data Strategies That Work – What the Best Data Teams Do Differently
Every data team wants to scale efficiently, reduce costs, and deliver real business value. But in practice, many struggle with siloed workflows, unreliable data, and costly inefficiencies. Since recording Season 1 of the Data Matas podcast, I've reflected on the key levers these great teams are using to deliver value in their businesses and pulled together the seven of the biggest lessons. These aren’t abstract theories—they are practical, tested strategies from professionals who have made data work for their organisations.
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Transforming Manufacturing Data Management with Matatika’s ETL Solution
Data is as essential to manufacturing today as any raw material. Yet, while most manufacturers generate valuable data across their operations, fragmented and siloed systems often keep them from putting this information to effective use. Matatika’s ETL (Extract, Transform, Load) solution is designed specifically for manufacturing’s data challenges, enabling teams to unify, automate, and harness real-time insights across their operations.
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