1. AIS Data Explorer

2. Team
Dr Andrew Rau-Chaplin
Kai Qi
Nitin Agrawal
Rahul Mahadev

3. What is AIS
The Automatic Identification System (AIS) is an automatic tracking system used on ships and by vessel traffic services (VTS) for identifying and locating vessels by electronically exchanging data with other nearby ships, AIS base stations, and satellites.
The information provided by AIS equipment are unique identification, position, course, and speed etc.

4. AIM
The main aim of AIS data explorer is to let users browse,analyse and download historical ais data and allow filters for time,region and other ship specifics.
The main users would be in the form of oceanographers who would like to study ship traffic in a region.

5. Another Perspective
Another perspective of this project is to compare the performance of different backend solutions.
PostgreSQL ,IBM Netezza and vOLAP

6. Comparison PostgreSQL IBM Netezza vOLAP SQL IBM in house
Easy to set up
Expensive to set up
Difficult to set up
Has a query interface
No query Interface yet
Scaling is limited to the system which hosts it.
Scaling is very expensive.
Scaling is easy as it is cloud based.

7. Architecture
Backend
App Server
Client
Data Ingestion

8. Current State
The application is complete with postgreSQL as the backend.
Basic functionality of the application have been successfully ported to Netezza and vOLAP.
We have 2 days of data on postgreSQL and 30 days of data on Netezza.
In a position to roll out a demo to potential users.

9. Challenges Faced Data is huge around 3 billion rows in traditional SQL
Real world data is often not clean and full of garbled values.

10. Future Plans Optimize the application for Netezza and vOLAP
Compare the performace difference between the systems.
Get feedback from potential users

11. Future Plans Optimize the application for Netezza and vOLAP
Compare the performace difference between the systems.
Get feedback from potential users

12. Demo