Self-tuning data exploration checkpoint

Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois Urbana-Champaign

Year dc:date

2025

Author dc:creator

• Chockchowwat, Supawit

Contributors dc:contributor

• Park, Yongjoo
• Sundaram, Hari
• Gupta, Indranil
• Özcan, Fatma

• Information Retrieval
• Inverted Index
• IoU Sketch
• Multi-Layer Hash Table
• Physical Database Design
• Separation of Compute and Storage
• Sketch Data Structure
• Index Tuning
• Hierarchical Index Design
• I/O-Aware Indexing
• Storage-Aware Optimization
• Graph-Based Optimization
• End-to-End Latency Minimization
• Learned Indexes
• Storage Profiling
• Data Management
• Transactional Python
• Chipmink
• Airphant
• AirIndex
• Data Exploration
• Exploratory Data Analysis
• Interactive Data Exploration
• Data Science
• Checkpoint
• Checkpointing
• Restoration
• Object Store
• Object Databases
• Graph-Based Versioning
• Object-Level Versioning
• Fine-Grained Version Control
• Podding
• Delta Encoding
• Mutable Object Storage
• Data Lineage
• Semantic Versioning
• Version Navigation
• Temporal Database
• Branching
• In-Memory State Management
• Immutable Snapshots
• Time-Travel Queries
• Storage Efficiency
• Incremental Checkpointing
• Version Indexing
• Change Tracking
• Non-Linear Histories
• Lightweight Snapshotting
• Data Reproducibility
• Cloud Storage
• Database as a Service
• Indexing

Statement dc:rights

• Copyright 2025 Supawit Chockchowwat

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/129394

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/129394