Remove 2013 Remove Big Data Remove DevOps Remove Team Building
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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. How DataOps relates to Agile, DevOps, and MLOps.

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Technology Trends for 2022

O'Reilly Media - Ideas

If you replace your old legacy software with new legacy software that doesn’t have the ability to evolve as your needs and opportunities change, if you build something that’s just as inflexible as what it replaced, what have you accomplished? Operations, DevOps, and SRE. It’s also worth highlighting the 2% increase for DevOps.

Trends 110
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Lean Software Development: The Backstory

LeanEssays

Lean is about Flow Efficiency The book This is Lean (Modig and Ahlström, 2013) describes “lean” as a relentless focus on efficiency – but not the kind of efficiency that cuts staff and money, nor the kind of efficiency that strives to keep every resource busy all of the time. If you would like more detail, see (Gruver et al, 2013).