Data management systems are the corner-stone of modern applications, businesses, and science (including data). If you were excited by the topics in 4111, this graduate level course in database systems research will be a deep dive into classic and modern database systems research. Topics will range from classic database system design, modern optimizations in single-machine and multi-machine settings, data cleaning and quality, and application-oriented databases. This semester’s theme will look at how learning has affected many classic data management systems challenges, and also how data management systems support and extends ML needs.
See FAQ for difference between 6113 and the other database courses.
| Date |
Topic |
Notes |
|---|---|---|
| C1: Thu 01-19 |
Intro + Classic Systems Overview
Preview of systems and topics of the semester + relevance of classic systems
|
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| C2: Thu 01-26 | Indexes | |
| C3: Thu 02-02 | Joins | |
| C4: Thu 02-09 | Query Optimization | |
| C5: Thu 02-16 | Cost Estimation | |
| C6: Thu 02-23 | Main Memory Query Execution (Vectorization) | |
| C7: Thu 03-02 | Main Memory Query Execution (Compilation) | Plan+Team |
| C8: Thu 03-09 | Dataflow Engines | |
| C9: Thu 03-16 | spring recess! | |
| C10: Thu 03-23 | Incremental Materialized Views | |
| C11: Thu 03-30 | In-DBMS ML | Status Update |
| C12: Thu 04-06 |
App-DBMS interop + UDFs
Guest Speaker: Sujay Jayakar from Convex
|
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| C13: Thu 04-13 | Learning over Joins | |
| C14: Thu 04-20 |
Data Markets
Guest Speaker: Zachary Huang
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| C15: Thu 04-27 | Projects |
Course design inspired by