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Performance Hints for BigQuery
trmlabs.com·10h·
Discuss: Hacker News
📋Columnar Storage
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Never thought I'd have my own "Local AI"
youtube.com·2h·
Discuss: r/LocalLLaMA
🦙Ollama
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Self-Supervised Temporal Pattern Mining for circular manufacturing supply chains with embodied agent feedback loops
dev.to·8h·
Discuss: DEV
⚡LMAX Disruptor
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Advanced Queries in ActiveRecord for Ruby on Rails
blog.appsignal.com·1d
📋Columnar Storage
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Hawiah: A modular DB layer 2.6x faster than Prisma, Sequelize, and TypeORM
reddit.com·2d·
Discuss: r/node
⛽Diesel
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Show HN: SQL Data Builder – Visual schema and query builder
vps-commander.com·13h·
Discuss: Hacker News
🗄️Databases
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Federation Over Embeddings: Let AI Agents Query Data Where It Lives
gnanaguru.com·4h·
Discuss: Hacker News
📱Edge AI
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Longreads + Open Thread
thediff.co·12h
📡RSS
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BigQuery Salesforce Integration: Getting Your Data Where It Needs to Be
gspann.com·12h·
Discuss: DEV
🔥DataFusion
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Built a local vector database for RAG that handles datasets bigger than RAM
github.com·2d·
Discuss: r/LocalLLaMA, r/selfhosted
🦆Daft
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14 Things to Keep Moms Organized in the New Year
sheknows.com·1d
📔Journaling
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We Lost the Thread on the Data Lake
blog.matterbeam.com·6h·
Discuss: Hacker News
🔺Delta Lake
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Understanding Database transactions and Isolation Levels
shbhmrzd.github.io·2d·
Discuss: r/programming
💳Transactional Memory
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<p>**Abstract:** This paper introduces a novel framework, Automated Protocol Refinement for Enhanced Algorithm Validation (APREAV), to significantly improve the...
freederia.com·19h
🌀Naiad
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parevo/mergen: A native, lightweight SQL client built with Go & Wails. Say goodbye to Electron bloat. 🚀
github.com·1d·
Discuss: Hacker News
🔥DataFusion
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Building a simple edge-to-cloud data pipeline – part 2
engineering.com·1d
🔧Data Engineering
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How IntelliNode Automates Complex Workflows with Vibe Agents
towardsdatascience.com·16h
🎭Program Synthesis
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems: 9781098119065: Computer Science Books @ Amazon.com
amazon.com·1d
🏗️Systems Design
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WPF/MVVM lottery analytics project : charts, tables, and performance notes (screenshots gallery)
reddit.com·1d·
Discuss: r/programming
🛡️RAII
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Optimizing Datadog at scale: Cost-efficient observability at Zendesk
datadoghq.com·2d
🔭Tracing
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