DataCampAdvanced Git
4.8(1,088)8k studentsADVANCEDEnglish
Korshub's take
Master Complex Version Control
While basic Git commands are essential for most developers, this course is specifically tailored for those working in data engineering and data science. It moves beyond simple commits to address the unique challenges of large-scale data projects and complex pipeline development.
Key Learning Focus:
- Data Integrity: Learn to use git reflog for disaster recovery and git bisect for efficient debugging.
- Workflow Optimization: Master advanced rebasing, parallel development via worktrees, and repository modularization using submodules.
- Large-Scale Management: Gain expertise in managing massive datasets using Git LFS and implementing sophisticated merging strategies.
This is an ideal deep dive for professionals needing to maintain robust version control within collaborative, data-intensive environments.
About this course
This course dives deep into Git's advanced features and is geared toward data engineering and data science workflows. You'll master complex merging strategies, learn to manipulate repository history and optimize Git for large-scale data projects. Key topics include advanced rebasing, git reflog for disaster recovery, efficient debugging with git bisect, and managing large files with Git LFS. You'll also explore parallel development using worktrees and how to modularize project structures with submodules. By the end of this course, you'll have the skills to handle complex version control scenarios and issues in data pipeline development and collaborative data projects.
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