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Back in the day, version control was largely the domain of Git, necessitating separate tools for issue tracking, CI/CD, and all the other delightful complexities of software development. Then came GitLab, promising to be the single application to rule them all – a complete DevOps platform. Quite clever, really, though one does wonder if striving for total domination wasn’t a touch ambitious.
In practice, GitLab delivers on much of that promise, offering a remarkably integrated suite. It’s robust, feature-rich, and undeniably powerful. However, that very breadth can be overwhelming; it’s a full operating system for your code, demanding significant configuration and upkeep. Compared to the more modular approach of, say, pairing GitHub with Jenkins or CircleCI, GitLab is an all-in-one solution that appeals to those who crave control… and have the bandwidth to wield it. Today, it’s a popular choice for organizations seeking end-to-end visibility and control over their development lifecycle, though a healthy contingent still prefers the flexibility of best-of-breed tools.
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analytics engineer
【1496】_TE_【東京勤務】Honda SDV開発におけるデータ基盤エンジニア／データサイエンティスト @ honda
JP | 2025-12-25
| JPY
5900000 - 1090000
/ year
Honda is fervently pursuing its Software Defined Vehicle (SDV) initiative, seeking a data engineer to architect and construct a robust data foundation from their labyrinthine data source web....
read more »
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AI/ML, ETL/ELT, Python, SQL, JavaScript, C, AWS, Redshift, AWS Glue, AWS Lambda, GCP, BigQuery, Dataflow, Azure, Synapse, Databricks, Docker, Kubernetes, Jenkins, GitHub, GitLab, Jira, Confluence, Tableau, Power BI, Superset, Pandas, TensorFlow, PyTorch, GenAI, R, CI/CD |
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