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DevOps-Roadmap reviews and mentions
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How should I start learning/implementing DevOps in data engineering projects?
In DevOps tools I've worked with GitHub + Jenkins, GitLab + k8s, and I'm now primarily working in the Argo Stack. Depending on where you're at technically, you might use something different. IaC is a ust as well, maybe some config management. Generally I've found that as a Data Engineer with a lot of infra/CICD knowledge, I generally get pigeonholed into those positions on a team, so be prepared for that. I really like this roadmap for DevOps , so you can see where your tech skills are at currently, and what you may need to learn. On top of that, you'll need to learn some data tools. Airflow + dbt is hot right now, Argo is sometimes used in MLOps, Azure Data Stack (I'm not familiar with it) seems common, and probably Spark in almost all cases. You can also checkout in visualization tools probably further down the line, I generally stick to something free when learning on my own, Superset or Google Data Studio (Might be Looker Studio now? Not sure, it's been a while). Here's a roadmap for DE too. I love these roadmaps for getting started, but don't let them distract you from exploring a path more appropriate to what you want to achieve. Generally I've found that as a Data Enigneer with a lot of infra/CICD knowledge, I generally get pigeonholed into those positions on a team
- What DevOps tool you wish that existed? I'll create it for free!
- After studying Python, what should I do next? Can somebody please direct me or provide me with a road map?
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100+ Must Know Github Repositories For Any Programmer
5. DevOps Roadmap
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10 Trending Github repositories / November, 10 2022
git clone https://github.com/milanm/DevOps-Roadmap.git
- Docker i Kubernetes
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A note from our sponsor - InfluxDB
www.influxdata.com | 28 Mar 2024
Stats
milanm/DevOps-Roadmap is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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