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DEV Track Spotlight: Build modern applications with Amazon Aurora DSQL (DEV308)
dev.to·4d·
Discuss: DEV
☁️AWS Infrastructure
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Querying 160 GB of Parquet Files with DuckDB in 15 Minutes
datamethods.substack.com·3d·
Discuss: Substack
🏗data engineering
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From PostgreSQL to VeloDB: Building Real-Time On-Chain Analytics for Web3 and Crypto
velodb.io·3d·
Discuss: Hacker News
⏱️Real-time Analytics
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Best way to annotate large parquet LLM logs without full rewrites?
news.ycombinator.com·5d·
Discuss: Hacker News
🧊Iceberg Tables
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Guess where all the NAND flash components are going? The 8th (yes, eighth) 245TB SSD has been announced amidst race to quench AI storage thirst of hyperscalers
techradar.com
·3d
🗄️Storage Tiering
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Understanding Database transactions and Isolation Levels
shbhmrzd.github.io·2d·
Discuss: r/programming
⚛️Atomic Databases
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Osmium storage analysts look ahead to 2026 and beyond
blocksandfiles.com·4d
🏛️Lakehouse Architecture
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Performance Hints for BigQuery
trmlabs.com·10h·
Discuss: Hacker News
⚙️Database Internals
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PardoX: Processing 640M Rows on a Standard Laptop — The High-Performance Rust ETL Engine
medium.com
·5d·
Discuss: DEV
📊Columnar Engines
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Auditing Reproducibility in Non-Targeted Analysis: 103 LC/GC--HRMS Tools Reveal Temporal Divergence Between Openness and Operability
arxiv.org·4d
🏗data engineering
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Optimizing Milvus Standalone for Production: Achieving 72% Memory Reduction While Maintaining Performance
dev.to·6d·
Discuss: DEV
⚡SIMD Optimization
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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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What I Learned Building a Storage Engine That Outperforms RocksDB
tidesdb.com·7h·
Discuss: Hacker News, r/programming
🧊Iceberg Tables
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Unifying governance and metadata across Amazon SageMaker Unified Studio and Atlan
aws.amazon.com·5d
🔗AWS Glue
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Context Mesh Lite: Hybrid Vector Search + SQL Search + Graph Search Fused (for Super Accurate RAG)
vmat.fillout.com·4d·
Discuss: DEV
💾Databases
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File handling in PostgreSQL: barriers and ways around them
dev.to·4d·
Discuss: DEV
💾Databases
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Pandas vs Polars: Why the 2025 Evolution Changes Everything
dev.to·14h·
Discuss: DEV
🐻Polars
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Apache Spark: The Engine Powering the Modern Data Revolution
netcomlearning.com·3d·
Discuss: DEV
🏗data engineering
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Aurora Serverless v2: When "I/O Optimized" Actually Costs You More
docs.aws.amazon.com·2d·
Discuss: DEV
🗂️HDF5
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Ways to do Continuous Incremental Delivery - Part 2: A core database change
linkedin.com·5d·
Discuss: r/programming
⚙️Database Internals
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