🔗 Distributed Systems & Big Data Techniques

Sharding, Replication, Partitioning, Horizontal Scaling, Vertical Scaling, High Availability, Failover, Disaster Recovery, Hadoop, HDFS, Spark SQL, Hive, Pig, Presto, Flink, Kafka, Zookeeper, MapReduce, Columnstore, Rowstore

Research Worth Reading Week 45/2025
pentesterlab.com·9h
🧭Vector Databases
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DDR5 OC world record broken again, 13211 MT/s with Patriot Viper Xtreme memory
tweaktown.com·3h
📊OLAP
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Profiling tools I use for QEMU storage performance optimization
blog.vmsplice.net·1d·
Discuss: Lobsters, Hacker News
⚡Query Optimization
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How To Navigate the Pipeline Crisis
kellblog.com·1d
📈Time Series
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Stop paying for cloud storage every month — own 100TB for life instead
mashable.com·1d
🌐Distributed Systems
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Designed for Excellence: Introducing the Snowflake Well-Architected Framework
snowflake.com·5d
🌐Distributed Systems
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From Auth to Action: Guide to Secure and Scalable AI Agent Infrastructure
composio.dev·1d·
Discuss: Hacker News
🌐Distributed Systems
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How Ericsson achieves data integrity and superior governance with Dataplex
cloud.google.com·2d
🏗️Data Engineering
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AlloyDB accelerates AI with automated vector indexing and embedding
cloud.google.com·2d
⚡Query Optimization
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Fee Compression in Rollups: How Data Availability Lowers User Costs
dev.to·3d·
Discuss: DEV
🌐Distributed Systems
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FineVision: Open Data Is All You Need
dev.to·5h·
Discuss: DEV
🧭Vector Databases
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**Revolutionizing AI: Recent Breakthrough in RAG Systems**
dev.to·2d·
Discuss: DEV
🔀Transformers
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RAG vs Fine‑Tuning: A Simple, Practical Guide for Beginners
dev.to·11h·
Discuss: DEV
🔀Transformers
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The Secrets of Cyber Security That Experts Don't Share
dev.to·3d·
Discuss: DEV
🌐Distributed Systems
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Minisforum MS-01 vs Lenovo ThinkCentre M720q Tiny (both options combined with QNAP JBOD)
reddit.com·21h·
Discuss: r/homelab
🔪Database Sharding
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<p>**Abstract:** Current methods for tracking retroviral latency reversal suffer from limitations in sensitivity and throughput, hindering effective therapeutic...
freederia.com·3d
🔧Feature Engineering
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Krish Naik: Stop Fighting with Kubernetes! Scale Python to 1000s of Machines with Coiled
dev.to·2d·
Discuss: DEV
🌐Distributed Systems
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Krish Naik: Stop Fighting with Kubernetes! Scale Python to 1000s of Machines with Coiled
dev.to·1d·
Discuss: DEV
🌐Distributed Systems
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Simplifying Prometheus Metrics in Go with prometric-go
dev.to·1d·
Discuss: DEV
📈Time Series
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HyperMarkets: Fast, Fair, and Fun Prediction Markets on Hyperliquid Perps
crypto.forem.com·1d·
Discuss: DEV
🏗️Data Engineering
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