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We’ve Been Using FITT Data Architecture For Many Years, And Honestly, We Can Never Go Back

DataKitchen

Yes, storage and compute have costs, but debugging corrupt state at 2 AM is infinitely more expensive. The math is simple: data engineering time is worth more than compute costs, which are worth more than storage costs. A missing null check was detected in the development costs, which can be fixed in minutes.

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9 IT resolutions for 2025

CIO Business Intelligence

And ensure effective and secure AI rollouts AI is everywhere, and while its benefits are extensive, implementing it effectively across a corporation presents challenges. Well see measurable gains in productivity, reduced operational costs, and a stronger alignment between technology and business goals.

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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

But this year three changes are likely to drive CIOs operating model transformations and digital strategies: In 2024, enterprise SaaS embedded AI agents to drive workflow evolutions , and leading-edge organizations began developing their own AI agents.

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Data Quality Test Coverage In a Medallion Data Architecture

DataKitchen

While this multi-layered approach to data processing offers significant advantages in organizing and refining data, it also introduces complexity that demands rigorous testing strategies to ensure data integrity across all layers. This cost structure makes a compelling case for comprehensive testing at the earliest possible stages.

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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg , we showed how to use Apache Iceberg in the context of strategy backtesting. Our analysis shows that Iceberg can accelerate query performance by up to 52%, reduce operational costs, and significantly improve data management at scale.

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A Guide to the Six Types of Data Quality Dashboards

DataKitchen

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. Data quality dashboards have emerged as indispensable tools, offering a clear window into the health of their data and enabling targeted actionable improvements.

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Generative AI: A Self-Study Roadmap

KDnuggets

For developers and data practitioners, this shift presents both opportunity and challenge. Cost Optimization and Token Management : Foundation model APIs charge based on token usage, making cost optimization essential for production applications. Gemini integrates multimodal capabilities seamlessly.