Tracer: A Machine Learning Based Data Lineage Solver with Visualized Metadata Management

In databases, many data do not come from scratch. They are derived from some other data and what describes this is called data lineage. Knowing the data lineage could help us do data validation, error detection, data debugging, and privacy and access control. Unfortunately, many databases do not have well documented data lineage information, and most existing works in this area heavily relies on extra input such as metadata, source code or annotations. In this paper, we build upon Tracer, a previously purposed machine learning approach to this problem, and make it more accurate, more general, and more intuitive.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2022

Author dc:creator

• Xie, Zhuofan

Advisor dc:contributor.advisor

• Veeramachaneni, Kalyan

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/143161

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/143161