Database engine integration and performance analysis of the BigDAWG polystore system
Name
1020180216-MIT.pdf
Description
Full printable version
Size
319.98 KB
Format
Adobe PDF
Checksum (MD5)
15535620de8750534b2856e6e7ae9a20
Author(s)
Yu, Katherine (Katherine X.)
Advisor(s)
Michael Stonebraker.
Date Issued
2017
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 55-56).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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