🔗 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

Transforming Business Innovation with Oodles’ Generative AI Development Services
oodles.com·3h·
Discuss: DEV
🔧Feature Engineering
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Dataset reveals the factors affecting retail and charitable food supplies after Hurricane Harvey
phys.org·1d
🔧Feature Engineering
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How to Build Agents with GPT-5
towardsdatascience.com·20h
🤖AI
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Top Tech News Today, November 11, 2025
techstartups.com·20h
🤖AI
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Sync your Backstage catalog with Datadog IDP
datadoghq.com·1d
🏗️Data Engineering
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The 2025 Family Office Software Roundup
forbes.com·3d
📊OLAP
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Decoding the Impossible: AI That Makes Math Understandable by Arvind Sundararajan
dev.to·1h·
Discuss: DEV
🤖AI
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(PR) Silicon Power Launches XPOWER XS90 Gen 5 x4 SSD
techpowerup.com·1d
🔪Database Sharding
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Channelmania! – future proof your DWDM network topology while keeping it flexible for 1.6T (denog17)
cdn.media.ccc.de·1d
🌐Distributed Systems
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OpenTelemetry Docker Monitoring with Collector and Docker Stats
dev.to·1d·
Discuss: DEV
🌐Distributed Systems
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Future for corporates self hosting LLMs?
reddit.com·2d·
Discuss: r/artificial
🌐Distributed Systems
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Teach Systems to Own Repetitive Work Without Losing Human Context
dev.to·1d·
Discuss: DEV
🌐Distributed Systems
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DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs
arxiv.org·5h
🤖AI
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AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs
arxiv.org·1d
🧭Vector Databases
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What if 100 agents could optimize your code simultaneously in isolated production environments without copying data?
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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IMDMR: An Intelligent Multi-Dimensional Memory Retrieval System for Enhanced Conversational AI
arxiv.org·1d
🧭Vector Databases
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NDC Conferences: The future & challenges of cloud - Anders Lybecker - NDC Copenhagen 2025
dev.to·2d·
Discuss: DEV
🏗️Data Engineering
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HBM Leads The Way To Defect-Free Bumps
semiengineering.com·1d·
Discuss: Hacker News
🔧Feature Engineering
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Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
arxiv.org·5h
🎮Reinforcement Learning
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