🔍 Query Languages & APIs

SQL, T-SQL, PL/pgSQL, SPARQL, Cypher, Gremlin, XQuery, Query, Join, Subquery, Aggregate Functions, Window Functions, Stored Procedure, Trigger, View

Embedded records - extracting data from classes
blogger.com·7h
💾Database
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Mastering Concurrency in Go: Goroutines, Channels, and Patterns
djamware.com·2h·
Discuss: DEV
🌐Distributed Systems
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MariaDB vs. PostgreSQL: Understanding the Architectural Differences That Matter
mariadb.org·6h·
Discuss: Hacker News
💾Database
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.com·17h
🏗️Data Engineering
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A fresh look at the Spring Framework
infoworld.com·4h
🌐Distributed Systems
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BoxLambda OS Software Architecture, First Draft
epsilon537.github.io·10h·
Discuss: Hacker News
🏗️Data Engineering
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Crushing ML Latency: The (Un)Official Best Practices for Systems Optimisation
pub.towardsai.net·8h
🔧Feature Engineering
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No, you don’t need Lit, Vite, or TypeScript to Extend the Umbraco Backoffice
dev.to·3h·
Discuss: DEV
💾Database
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Master Python Web Scraping with 5 Real-World Projects
github.com·3h·
Discuss: DEV
🧭Vector Databases
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New comment by xfalcox in "The Case Against PGVector"
github.com·1d·
Discuss: Hacker News
💾Database
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My dumb prompts that worked better
blog.nilenso.com·1d
🔧Feature Engineering
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From Vibe Coding to Informed Development: How Codalio PRD Transforms Your Cursor Workflow
dev.to·14h·
Discuss: DEV
🔧Feature Engineering
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⚡ CQRS & Use Cases: Why Your Service Layer is a Mess (And How to Fix It)
dev.to·1d·
Discuss: DEV
💾Database
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Building MeridianDB: Solving AI's Memory Crisis with Multi-Dimensional RAG
dev.to·5h·
Discuss: DEV
💾Database
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Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
arxiv.org·8h
🔀Transformers
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Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance
arxiv.org·8h
🔀Transformers
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Context Engineering: The New Skill for Working with AI Agents
benr.build·27m·
Discuss: Hacker News
🤖AI
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Cells, Queries, and Chaos: The Game of Life in SQL!
dev.to·2d·
Discuss: DEV
💾Database
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BoolSkel: Unlocking Boolean Network Efficiency Through Structural Pruning by Arvind Sundararajan
dev.to·53m·
Discuss: DEV
🧭Vector Databases
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LA-MARRVEL: A Knowledge-Grounded and Language-Aware LLM Reranker for AI-MARRVEL in Rare Disease Diagnosis
arxiv.org·8h
🔧Feature Engineering
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