Tag: Career
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Data Science Architect Career Path, and What to Learn Next (Data Science Series, Part 30)
Stack Overflow folded data scientist into an AI/ML engineer group in 2025, and the reported pay gap was about 44,500 dollars. Here is the architect path out of senior data scientist: four ladders, the real skills gap, and a twelve month plan.
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What a Data Scientist Actually Does, vs Analyst, ML Engineer and Researcher (Data Science Series, Part 1)
Four job titles get used interchangeably and they are not the same job. Here is what a data scientist actually does all day, how the role differs from analyst, ML engineer and research scientist, and what the labour numbers say about the path.
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Data Analyst Portfolio and Landing Your First Job (Data Analyst Series, Part 22)
A hiring panel gives your application about two minutes. Here is how to build three portfolio projects that survive that read, and how to run the job hunt itself like a pipeline you can diagnose.
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What a Data Analyst Really Does, vs Data Scientist and Data Engineer (Data Analyst Series, Part 1)
A plain, beginner-friendly breakdown of what a data analyst actually does day to day, how the job differs from data scientist and data engineer, and what the three roles pay.
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Landing Your First Linux Job: Certs, Interviews, and Your First Role (Linux for Beginners, Part 24)
Nobody is hired for reciting commands. Which Linux certifications are worth it, what interviews actually test, how to survive your first 90 days, and a seven-day plan to start now.
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Who Can Run What on a Linux System? Users, Groups, and sudo (Linux for Beginners, Part 5)
Linux allows or denies every action based on your user, your groups, and sudo. Here is how UIDs, /etc/passwd, /etc/shadow, groups, and the sudoers file actually decide what you can run.
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Why Linux Runs the World, and Where You Already Use It (Linux for Beginners, Part 1)
Linux quietly runs most servers, every top supercomputer, and most phones. Part 1 shows where it hides, the kernel-versus-distribution split, and how to identify any Linux box you land on.
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Your DevOps Roadmap and What to Learn Next (DevOps for Beginners, Part 18)
Your DevOps roadmap: where you are after the foundations, how to pick a specialty, becoming T-shaped, how to keep learning, the career ladder, and a ninety day plan.
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Prepare for the DevOps Interview and Land the Job (DevOps for Beginners, Part 17)
How to prepare for a DevOps interview: the stages, the questions juniors get, answering troubleshooting scenarios, telling your project story, and why honesty beats bluffing.
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Build a DevOps Home Lab: Practice the Whole Stack for Free (DevOps for Beginners, Part 16)
Build a DevOps home lab for free: one end to end project with Git, Docker, a CI pipeline, a local Kubernetes cluster, and monitoring, plus how to keep it cheap and disposable.
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What Problem Does DevOps Actually Solve? (DevOps for Beginners, Part 2)
The dev versus ops split, the over-the-wall handoff, environment drift and big-batch releases, and how DevOps closes the gap with shared ownership and automation.
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What DevOps Actually Means, and the Myths Around It (DevOps for Beginners, Part 1)
What DevOps actually means, the myths around it, the dev versus ops wall, and how the DORA metrics measure it, with a runnable pipeline example.
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About the Author
Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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