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Performance Hints for BigQuery
trmlabs.com·6h·
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🔧Database Engines
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Pandas vs Polars: Why the 2025 Evolution Changes Everything
dev.to·11h·
Discuss: DEV
🐻‍❄️Polars
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Your NAS feels slow because your files are too small
xda-developers.com·9h
🗃️SQLite
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What I Learned Building a Storage Engine That Outperforms RocksDB
tidesdb.com·3h·
🗃️SQLite
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Building a Double-Entry Payment System in Elixir
zarar.dev·3h
💾Database Systems
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How to Build an AI-Powered Weather ETL Pipeline with Databricks and GPT-4o: From API To Dashboard
towardsdatascience.com·1d
Time-Series Analytics
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faradayio/xsv2: Fork of xsv because qsv is too much
github.com·11h·
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➡️Arrow Format
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the myth of multitasking and other things i learned today
lollar.bearblog.dev·7h
📊Algorithms
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Federation Over Embeddings: Let AI Agents Query Data Where It Lives
gnanaguru.com·1h·
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🏗️AI Infrastructure
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How to Build AI-Based Recommendation Systems in Mobile Apps (2026 Guide)
vibe.forem.com·1d·
Discuss: DEV
🧠AI
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No, Small Models Are Not the "Budget Option" (English)
mostlylucid.net·1h
💻Local LLMs
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Shared Representation Learning for High-Dimensional Multi-Task Forecasting under Resource Contention in Cloud-Native Backends
arxiv.org·2d
🏗️AI Infrastructure
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Self-Supervised Temporal Pattern Mining for circular manufacturing supply chains with embodied agent feedback loops
dev.to·4h·
Discuss: DEV
Time-Series Analytics
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From PostgreSQL to VeloDB: Building Real-Time On-Chain Analytics for Web3 and Crypto
velodb.io·3d·
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🗃️Embedded Databases
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We Lost the Thread on the Data Lake
blog.matterbeam.com·3h·
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🪳CockroachDB
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Kibana: Visualizing Your Data Story
dev.to·12h·
Discuss: DEV
📈Time-series Monitoring
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Database Design Book
kb.databasedesignbook.com·1d
🗄️Database Design
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Why MAP and MRR Fail for Search Ranking (and What to Use Instead)
towardsdatascience.com·2d
🌳B-Trees
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🧠Memory Models
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Zen-GC – policy-driven K8s garbage collection for automated cleanup
github.com·10h·
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🧩Nomad
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