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.ipynb_checkpoints
README.md
main.ipynb

README.md

Storing Storm Data

In this mini-project, we will be working with a CSV File.

We will convert it into a SQL Database with following features:

  • Have data stored in normalised tables.
  • Have data stored in a Storage Efficient Way.
  • Have Users that can update, read, and insert into a table of the data.
  • Have Users that can only read into a table.
  • And Users who can insert data into the table.

Github Repo | Notebook Preview (nbviewer)


Following Packages and Concepts are explored:

  • Pandas - DataFrame (Consolidating Data)
  • PostgreSQL - Database, connect, cursor, execute, autocommit, mogrify
  • SQL - CREATE TABLE, USER _ WITH PASSWORD, GROUP, GRANT, REVOKE, DROP _ IF EXISTS, INSERT INTO
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