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Data Engineering Trends in 2025
As we start to gear up for 2025, we thought now was a great time to revisit some of our most popular content from 2024 in a new light.
Over the next couple of weeks, we’re presenting these Notebook LM produced Podcast episodes on our most popular DataPro Newsletter topics.
This article from datapro.news forecasts three major technological trends shaping data engineering in 2025. Firstly, the rise of agentic AI necessitates skill adaptation in data pipeline automation, ethical considerations, and new roles like AI pipeline architects. Secondly, new computing frontiers, including post-quantum cryptography and ambient invisible intelligence, demand expertise in quantum-safe architectures and edge computing. Finally, human-machine synergy, encompassing spatial computing and polyfunctional robots, requires proficiency in 3D data modelling and robotic process automation. The article stresses the importance of continuous learning, interdisciplinary skills, and ethical considerations for data professionals to succeed in this evolving landscape.
Don’t forget to subscribe for more Data based content coming out soon!
• Join the Data Innovators Exchange for free at https://www.skool.com/data-management-innovators-4116/about
• Sign up for the free Data Pro Newsletter at https://www.datapro.news/subscribe
Видео Data Engineering Trends in 2025 канала Data Radio Show
Over the next couple of weeks, we’re presenting these Notebook LM produced Podcast episodes on our most popular DataPro Newsletter topics.
This article from datapro.news forecasts three major technological trends shaping data engineering in 2025. Firstly, the rise of agentic AI necessitates skill adaptation in data pipeline automation, ethical considerations, and new roles like AI pipeline architects. Secondly, new computing frontiers, including post-quantum cryptography and ambient invisible intelligence, demand expertise in quantum-safe architectures and edge computing. Finally, human-machine synergy, encompassing spatial computing and polyfunctional robots, requires proficiency in 3D data modelling and robotic process automation. The article stresses the importance of continuous learning, interdisciplinary skills, and ethical considerations for data professionals to succeed in this evolving landscape.
Don’t forget to subscribe for more Data based content coming out soon!
• Join the Data Innovators Exchange for free at https://www.skool.com/data-management-innovators-4116/about
• Sign up for the free Data Pro Newsletter at https://www.datapro.news/subscribe
Видео Data Engineering Trends in 2025 канала Data Radio Show
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10 января 2025 г. 12:23:25
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