Database engine integration and performance analysis of the BigDAWG polystore system

The BigDAWG polystore database system aims to address workloads dealing with large, heterogeneous datasets. The need for such a system is motivated by an increase in Big Data applications dealing with disparate types of data, from large scale analytics to realtime data streams to text-based records, each suited for different storage engines. These applications often perform cross-engine queries on correlated data, resulting in complex query planning, data migration, and execution. One such application is a medical application built by the Intel Science and Technology Center (ISTC) on data collected from an intensive care unit (ICU). This thesis presents work done to add support for two commonly used database engines, Vertica and MySQL, to the BigDAWG system, as well as results and analysis from performance evaluation of the system using the TPC-H benchmark.

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

2017

Author dc:creator

• Yu, Katherine (Katherine X.)

Advisor dc:contributor.advisor

• Michael Stonebraker.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/113455

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/113455