Further reading

Here are some links that you can refer to for gathering more information about the following topics:

• America's Grow-a-Row: https://www.americasgrowarow.org/wp-content/uploads/2019/09/AGAR-2018-Annual-Report.pdf
• NIST Big Data Interoperability Framework: https://bigdatawg.nist.gov/_uploadfiles/NIST.SP.1500-1.pdf
• Google Drive FAQ: https://support.google.com/drive/answer/37603?hl=en
• Python Data Analysis for Beginners Guide GitHub repository: https://github.com/mwintjen/Python_Data_Analysis_Beginners_Guide
• Dimensional Modeling Techniques by Dr. Ralph Kimball from his book, The Data Warehouse Toolkit: https://www.kimballgroup.com/data-warehouse-business-intelligence-resources/kimball-techniques/dimensional-modeling-techniques/
• IBM Dictionary of Computing: http://portal.acm.org/citation.cfm?id=541721
• Kaggle datasets: https://www.kaggle.com/datasets
• FiveThirtyEight datasets: https://data.fivethirtyeight.com/
• The World Bank Data sources: https://data.worldbank.org/
• The Creative Commons license information: https://creativecommons.org/
• The Data Literacy Project site: https://thedataliteracyproject.org/