Category: data-architecture
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Why Every Analytics Engineer Needs to Understand Data Architecture
Why Every Analytics Engineer Needs to Understand Data Architecture Get the data architecture right, and everything else becomes easier. I know it sounds simple, but in reality, little nuances in designing your data architecture may have costly implications. This article provides a crash course on the architectures that shape your daily decisions – from relational…
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Pydantic Performance: 4 Tips on How to Validate Large Amounts of Data Efficiently
Pydantic Performance: 4 Tips on How to Validate Large Amounts of Data Efficiently The real value lies in writing clearer code and using your tools right The post Pydantic Performance: 4 Tips on How to Validate Large Amounts of Data Efficiently appeared first on Towards Data Science. Mike Huls Go to original source
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Layered Architecture for Building Readable, Robust, and Extensible Apps
Layered Architecture for Building Readable, Robust, and Extensible Apps If adding a feature feels like open-heart surgery on your codebase, the problem isn’t bugs, it’s structure. This article shows how better architecture reduces risk, speeds up change, and keeps teams moving. The post Layered Architecture for Building Readable, Robust, and Extensible Apps appeared first on…
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Data Mesh Diaries: Realities from Early Adopters
Data Mesh Diaries: Realities from Early Adopters Early-adopter realities gathered from real data mesh implementations The post Data Mesh Diaries: Realities from Early Adopters appeared first on Towards Data Science. Corné POTGIETER Go to original source
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The Mythical Pivot Point from Buy to Build for Data Platforms
The Mythical Pivot Point from Buy to Build for Data Platforms For companies with data-intensive architectures, there often comes a pivotal point where building in-house data platforms makes more sense than buying off-the-shelf solutions The post The Mythical Pivot Point from Buy to Build for Data Platforms appeared first on Towards Data Science. Ming Gao…
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Modern Data And Application Engineering Breaks the Loss of Business Context
Modern Data And Application Engineering Breaks the Loss of Business Context Here’s how your data retains its business relevance as it travels through your enterprise Continue reading on Towards Data Science » Bernd Wessely Go to original source
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The Case Against Centralized Medallion Architecture
The Case Against Centralized Medallion Architecture Why tailored, decentralized data quality trumps the medallion architecture Continue reading on Towards Data Science » Bernd Wessely Go to original source