I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!
\
Arash Farahani arash2060
yoyama
/ Schema2CaseClass.scala
Created
January 20, 2017 07:36
Generate case class from spark DataFrame/Dataset schema.
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| /** | |
| * Generate Case class from DataFrame.schema | |
| * | |
| * val df:DataFrame = ... | |
| * | |
| * val s2cc = new Schema2CaseClass | |
| * import s2cc.implicit._ | |
| * | |
| * println(s2cc.schemaToCaseClass(df.schema, "MyClass")) | |
| * |
tsiege
/ The Technical Interview Cheat Sheet.md
Last active
June 28, 2024 10:38
This is my technical interview cheat sheet. Feel free to fork it or do whatever you want with it. PLEASE let me know if there are any errors or if anything crucial is missing. I will add more links soon.
GuilleUCM
/ gist:5661733
Last active
October 13, 2023 20:31
— forked from entaroadun/gist:1653794
Recommendation datasets
Movies Recommendation:
- MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
- Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
- Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
- Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/
Music Recommendation:
- Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html