To design and populate a data warehouse for AIS messages from Data@Liánchéng in PostgreSQL and build an interface to query the data warehouse
- Select Types 1, 2, 3 and 5 messages in September 2023 of AIS data from Data@Liánchéng data in PostgreSQL with an unzipping extractor and Emacs for extraction, filtering, and cleaning
- Create and populate one or more relational fact tables for the selected and staged AIS messages in JSON format.
- Create and populate the relevant dimension tables
- Propose and implement four SQL queries that illustrate the benefits of the star schema dimensional model and of the design
- Design and implement a Web-based interface to query the data warehouse with 4 hard-coded queries and 3 interactive query construction using Dash library