https://github.com/fmind/bigdata-tutorials

Tutorials for the Big Data course @ uni.lu
https://github.com/fmind/bigdata-tutorials

bigdata data-science databases nbgrader tutorials

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Tutorials for the Big Data course @ uni.lu

• Host: GitHub
• URL: https://github.com/fmind/bigdata-tutorials
• Owner: fmind
• License: other
• Created: 2019-09-13T16:31:15.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-11T15:44:17.000Z (about 5 years ago)
• Last Synced: 2024-11-06T00:28:43.386Z (2 months ago)
• Topics: bigdata, data-science, databases, nbgrader, tutorials
• Language: Jupyter Notebook
• Size: 26.9 MB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# bigdata-tutorials

## Assignments

- **01-SQL**: create simple SQL queries with SQLite.

- **02-RDB**: implement relational algebra operators.

- **03-NOSQL**: use a MongoDB like programming interface.

- **04-MAPRED**: implement a map reduce framework from scratch.

- **05-PIPE**: distributed computing analysis using Dask Bag API.

- **06-VALUES**: multiple choice questions on new databases types.

- **07-ACTORS**: multiple choice questions about the actor paradigm.

- **08-STATS**: compute various statistics on the titanic dataset.

- **09-PLOTS**: create advanced visualisations with Plotnine.

- **10-LEARN**: apply supervised learning with scikit-learn.

- **11-CLUST**: implement the Kmeans algorithm from scratch.