2018/January: Difference between revisions
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** Concepts: data engineering vs. data science | ** Concepts: data engineering vs. data science | ||
** Elevator pitch: what is data engineering | ** Elevator pitch: what is data engineering | ||
** Data engineering scenario rollouts | |||
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Revision as of 10:40, 7 January 2018
Task list for January:
- Shore up notes:
- Experiment design
- Linear models
- Rubiks cube
2018/January/Notes Repositories
- Data engineering scenarios
- Basic workflow, dealing with large amounts of data and doing machine learning on it
- Initially: following along with some tutorial
- See also: Google Cloud/Review
- Rubiks Cube:
- Calculating the order of a permutation (see https://math.stackexchange.com/questions/332146/efficient-method-to-determine-the-order-of-a-permutation-in-s-n)
- Blog posts:
- Knuth permutation generation
- Google Data Engineering Certification blog post and notes highlights
- Concepts: data engineering vs. data science
- Elevator pitch: what is data engineering
- Data engineering scenario rollouts
- Genealogy
- Plan two chapters, possibly more
- Historical planning
- Index cards/Microscope style?
- Bot