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🧮 Apache Calcite

query planning, SQL parsing, cost optimization, database frameworks

Study and Comparison of Data Lakehouse Systems (2023) [pdf]
doria.fi·23h·
Discuss: Hacker News
🏛️Lakehouse Architecture
Raw SQL or ORMs? Why ORMs are a preferred choice
dev.to·5h·
Discuss: DEV
💾Databases
Show HN: Accelerate AI agent development by grounding AI assistant in local docs
github.com·7h·
Discuss: Hacker News
🔍AI Detection
Bold Devlog - July Summary (JSON, DAP, LSP)
bold-edit.com·6h·
Discuss: r/programming
🦀Rust Scientific
Parallel Programming Models
ayushgundawar.me·18h·
Discuss: Hacker News
📊Columnar Engines
Building a SQLite CLI in less than an hour without ever looking at any code
theahura.substack.com·8h·
Discuss: Substack
💾Databases
The Summer of Codex
paylias.xyz·11h·
Discuss: Hacker News
🏞️Delta Lake
PesudoCLI - your AI man pages.
dev.to·11h·
Discuss: DEV
🏺Data Archaeology
Iceberg, the Right Idea – The Wrong Spec – Part 2 of 2: The Spec
database-doctor.com·10h·
Discuss: Hacker News
🧊Iceberg Tables
Using LLM Embeddings to Normalize User Data
matthodges.com·19h·
Discuss: Hacker News
🧭Vector Databases
A Bytecode VM for Arithmetic: The Parser
abhinavsarkar.net·11h·
Discuss: Lobsters, Hacker News
🔧Functional Programming
Less Glue, More Product: Why Elixir Shrinks Architectural Complexity
iamkonstantin.eu·13h·
Discuss: Lobsters, Hacker News
🏛️Lakehouse Architecture
High performance data integration for large-scale analyses of incomplete <i>Omic</i> profiles using Batch-Effect Reduction Trees (BERT)
nature.com·11h
🗂️HDF5
Why You Shouldn’t Treat Your Database as an Integration Platform
medium.com·4h·
Discuss: r/programming
🧊Iceberg Tables
⚙️ Scaling to 100K+ Tenants in a Single DB: Isolation, Partitioning, and Indexing Strategies That Actually Work 💡
dev.to·15h·
Discuss: DEV
⚡ClickHouse
A Library Approach to Constant Template Parameters
brevzin.github.io·10h·
Discuss: Hacker News, r/cpp
⚙️Query Compilers
Mainframe Migration in 2025: A Practical Guide
swimm.io·5h·
Discuss: DEV
🗄️Storage Tiering
TandoorRecipes/recipes
github.com·23h
🏛️Lakehouse Architecture
Introduction to Supervised Machine Learning for Beginners
github.com·16h·
Discuss: DEV
🧭Vector Databases
How Does GLM-4.5 Surpass o3, Gemini 2.5 Pro, and Grok 4 with 90% Success in Agentic Benchmarks?
softreviewed.com·10h·
Discuss: DEV
📊Columnar Engines
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