Find good Data Sets or Sources

Last updated Jun 23, 2023

Data sets are always useful for data engineering projects. Here are some listed that can help find one.

Some that offer great datasets:

• Kaggle Datasets: Kaggle is a platform for data science and machine learning competitions, and it hosts a wide variety of datasets. You can find datasets on various topics, such as finance, sports, healthcare, and more. Browse through their dataset collection at https://www.kaggle.com/datasets.
• Google Dataset Search
  • they are now (2023-03-05) included in default serach Datasets at your fingertips in Google Search – Google AI Blog
• If you need a big one, the New York Taxi is a famous one. They recently added the much better apache parquet format (but CSV is still there as well):
  • https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page
• less relevant for you, but here in Switzerland we have some open-data endeavors that try to open-source all data, e.g.
  • CH: Open Data Swiss
  • US: data.gov: The US government’s open data repository contains datasets from various agencies and organizations. The datasets cover a wide range of topics, including agriculture, climate, education, energy, and more. Browse the datasets at https://www.data.gov/.
• The Seattle Data Guy also has great resources, e.g. here he suggests 5 of them: 5 Data Sources for Your Data Engineering Projects - Data Engineering Portfolio Part (1/5) - YouTube.
• Weekly newsletter of useful/curious datasets: Data Is Plural
• UCI Machine Learning Repository: The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators used by the machine learning community for research purposes. It contains datasets related to various domains, including text, image, and time-series data. Visit the repository at https://archive.ics.uci.edu/ml/index.php.
• Awesome Public Datasets: This is a GitHub repository that contains a curated list of high-quality public datasets on various topics, such as agriculture, biology, climate, economics, education, and more. You can find the list at https://github.com/awesomedata/awesome-public-datasets.
• FiveThirtyEight: FiveThirtyEight is a website that focuses on opinion poll analysis, politics, economics, and sports blogging
• CERN Open Data Portal

• public-apis/public-apis: A collective list of free APIs
• spark-joy/README.md at master · sw-yx/spark-joy · GitHub

See more on People of Data Engineering and Open-Source Data Engineering Projects.

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Created 2022-05-17