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DataOps vs. DevOps: What’s the Difference?

Alation

DataOps and DevOps are two distinctly different pursuits. But where DevOps focuses on product development, DataOps aims to reduce the time from data need to data success. At its best, DataOps shortens the cycle time for analytics and aligns with business goals. What is DevOps? What is DataOps?

DataOps 59
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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

MLOps is a set of practices that combines machine learning (ML) with traditional data engineering and DevOps to create an assembly line for building and running reliable, scalable, efficient ML models. AIOPs enables ITOPs personnel to implement predictive alert handling, strengthen data security and support DevOps processes.

Big Data 106
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Ask HN: Who is hiring? (July 2025)

Hacker News

It seems like that's not the main focus of your org, but I was pleased to see a reference to RCV in your blog: [0] [0]: https://goodparty.org/blog/article/final-five-voting-explain. City vs. Countryside. Poor neighbourhoods vs. Rich. It is a vote of a vote still.

Python 79