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🚀 Query Optimization

Cost-based Planning, Join Algorithms, Index Selection, Database Performance

Toward Environmentally Equitable AI
cacm.acm.org·5h
🔲Cellular Automata
No pre-filtering in pgvector means reduced ANN recall
dev.to·1d·
Discuss: DEV
🗂️Vector Databases
When Data Becomes a Bottleneck: Why Smart People Still Struggle to Get Answers
dev.to·9h·
Discuss: DEV
🌊Stream Processing
Slashing CI Costs at Uber
uber.com·10h·
Discuss: Hacker News
🔄Reproducible Builds
Could Open Table Formats End the Reign of Snowflake and Databricks?
prequel.co·3h·
Discuss: Hacker News
📚MARC Evolution
Lower Bounds for Conjunctive Query Evaluation
arxiv.org·1d
🧮Kolmogorov Complexity
NaviAgent: Bilevel Planning on Tool Dependency Graphs for Function Calling
arxiv.org·16h
🔗Topological Sorting
New: Improve Apache Iceberg query performance in Amazon S3 with sort and z-order compaction
aws.amazon.com·1d
🔄Burrows-Wheeler
Dual-Hierarchy Labelling: Scaling Up Distance Queries on Dynamic Road Networks
arxiv.org·1d
📏Range Queries
I Built a Database from Scratch in Go - Here's What I Learned About B+ Trees, ACID Transactions, and 1,800 ops/sec Performance 🚀
dev.to·1d·
Discuss: DEV
🗄️SQLite Internals
Graph Algorithms Explained: Finding Paths and Connections
dev.to·1d·
Discuss: DEV
🕸️Graph Algorithms
Deep Dive into Databend UDF, implementing your data solutions with Python, WASM
databend.com·6h·
Discuss: Hacker News
📋DFDL
Exploring High Efficiency Web Analysis Results(1750876031390300)
dev.to·2h·
Discuss: DEV
🌊Stream Processing
Agentic AI: Implementing Long-Term Memory
towardsdatascience.com·1d
💾Persistence Strategies
Solving LinkedIn Queens Using Haskell
imiron.io·1d·
Discuss: Lobsters, Hacker News, r/programming
λLambda Formalization
A Principled Approach to Randomized Selection under Uncertainty
arxiv.org·16h
🌸Bloom Variants
An All-Around Better Horse
patrickhebron.com·3h·
Discuss: Hacker News
🧠Knowledge Management
Building a Smart Database Management Tool with AI Insights
dev.to·1d·
Discuss: DEV
🗄️Database Internals
Local Elasticsearch Playground: A Practical Introduction and hands-on test (and moving to a RAG solution)
dev.to·1d·
Discuss: DEV
🏺ZIP Archaeology
Machine Learning Fundamentals: active learning
dev.to·1d·
Discuss: DEV
🤖Grammar Induction
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