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Show HN: Database Internals, a book by Claude Opus 4.5
cloudstreet-dev.github.io·2d·
Discuss: Hacker News
🏗️System Design
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Streamlining Legacy Databases: A Go-Based Approach to Preventing Clutter
dev.to·1h·
Discuss: DEV
🦆DuckDB
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How I Structure My Data Pipelines: The Silver Layer
loglevelinfo.substack.com·3h·
Discuss: Substack
🔢Algebraic Datatypes
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Data Agent Ready Database: Designing the Next-Gen Enterprise Data Warehouse
databend.com·2h·
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🔀Data Integration
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Streamlining Legacy Databases: A Python-Based Approach to Reducing Clutter in Production Systems
dev.to·23h·
Discuss: DEV
🦆DuckDB
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Meta Engine: A Unified Semantic Query Engine on Heterogeneous LLM-Based Query Systems
arxiv.org·1d
🔍Query Engines
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Building Production Text-to-SQL for 70,000+ Tables: OpenAI’s Data Agent Architecture
pub.towardsai.net
·2d
🔍Query Engines
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Introducing Bunny Database: The SQLite-Compatible Edge DB
bunny.net·21h·
Discuss: Hacker News
🦆DuckDB
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22.00.0182 JDex deep-dive: data and storage options
johnnydecimal.com·19h
💾Digital Archiving
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Data Integration
databricks.com·11h
🔀Data Integration
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Beyond Two Towers: Re-architecting the Serving Stack for Next-Gen Ads Lightweight Ranking Models…
medium.com·1d
📋JSON Parsing
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PostgreSQL introspection is tricky (lessons from building a native client)
news.ycombinator.com·21h·
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🦆DuckDB
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Introducing the SpiceDB Query Planner
authzed.com·1d·
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🔍Query Engines
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Umair Shahid: PostgreSQL Materialized Views: When Caching Your Query Results Makes Sense (And When It Doesn’t)
stormatics.tech·21h·
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🔍Query Engines
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liliang-cn/sqvect: SQLite for Vectors - Simple, fast, embeddable vector storage for Go LLM applications.
github.com·18m·
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💬Smalltalk VMs
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The Architecture of Open Source Applications (Volume 1) Berkeley DB
aosabook.org·1d·
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🔪Program Slicing
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Building Modern Databases with the FDAP Stack
gotopia.tech·4d·
🦆DuckDB
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Semantic Operators: Run LLM Queries Directly in SQL
tacnode.io·1d·
Discuss: Hacker News
🧠Semantic Parsing
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Anthropic's Performance Take-Home: A 65x Optimization (For Dummies)
ikot.blog·16h·
Discuss: Hacker News
🗺️Region Inference
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Millets: A practical memory-safety and thread-safety experiment
eagledot.xyz·17h·
🎯Escape Analysis
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