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The 2026 AI data engineering roadmap

on February 08, 2026

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https://blog.dataexpert.io/p/the-2026-ai-data-engineer-roadmap

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Spark shuffle storage options

Apache Spark executors require storage space for various operations, particularly for shuffle data during wide operations such as sorting, grouping, and aggregations. Wide operations are transformations that require data from different partitions to be combined, often resulting in data movement across the cluster. During the map phase, executors write data to shuffle storage, which is then read by reducers https://iomete.com/resources/k8s/spark-executor-shuffle-storage-options Credit: https://iomete.com/

Can we really avoid vendor lock using Cloud & Platform for Data Engineering ?

https://open.substack.com/pub/performancede/p/avoiding-cloud-and-platform-lock?r=o2x0y&utm_campaign=post&utm_medium=web

Cursor AI for developers

Cursor is basically an AI-powered code editor on steroids. It is a fork of Visual Studio Code , bringing advanced AI capabilities to a familiar interface. What sets Cursor apart is its deep integration into the coding workflow. It's not just about suggesting code or handling repetitive tasks. This tool actually understands your project. It gets your coding style, it knows your project structure, and it even picks up on your team's best practices. It's like having a pair programming partner looking over your shoulder, offering advice, catching errors, and even helping refactor your code – all in real-time. Alright, let's dive into the key features that make Cursor so cool and how they can make your coding experience a whole lot better. https://www.builder.io/blog/cursor-ai-for-developers

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The 2026 AI data engineering roadmap

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