Balsa is a learned SQL query optimizer. It tailor optimizes your SQL queries to find the best execution plans for your hardware and engine.
Neural Relation Understanding: neural cardinality estimators for tabular data
State-of-the-art neural cardinality estimators for join queries
An advanced distributed knowledge fabric for intelligent document processing, featuring multi-document agents, optimized query handling, and semantic understanding.
A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
Saturn accelerates the training of large-scale deep learning models with a novel joint optimization approach.
Code for "Text-Video Retrieval with Global-Local Semantic Consistent Learning"
This repository presents research on SQL query optimization, exploring how different indexing strategies and PostgreSQL configurations impact query performance. The project, which earned second place at TCCD Research Day, provides insights into improving database efficiency.
Joiner is a research project for sql join order tuning using reinforcement learning algorithm.
Practical Web DataBase Design Book
Why did i do this?
Simpli-Squared is a statistics-free join ordering algorithm Without Cardinality Estimates.
Scalable Join Cardinality Estimaitor
Sub-optimal Join Order Indicator
This repository contains a Python application that uses the Langchain library to optimize database queries.
Spanning Tree-based Query Plan Enumeration
Asynchronous execution of parallely executing SQL query
AI-driven solution that allows users to filter and retrieve tickets based on natural language queries. This system interprets and translates user inputs into technical filter criteria, providing an intuitive, user-friendly interface for effective ticket management.
Case Study for a data engineering job application at a company
Olympics Dashboard is a database management project which aims at providing a platform about how the Olympics has evolved over time, participation, and performance rate based on gender, different countries, different sport and sports events. A lot of data is generated and collected each year at the Olympics which calls for a method to bring out …
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