Columnar Storage, Data Formats, Big Data, Apache Arrow

Autoshift Karpenter Controller
reddit.com·21h·
Discuss: r/kubernetes
📡Event-Driven Architecture
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Backup and DR in K8s.
reddit.com·3d·
Discuss: r/kubernetes
📨Kafka
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Bindplane Adds Ability to Automate Deployment of OpenTelemetry Collectors
devops.com·22h
🔄Data Pipelines
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How modern document-management software empowers enterprise workflows
dev.to·1d·
Discuss: DEV
Data Quality
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Modelling Time Series Processes Using GARCH
dev.to·1h·
Discuss: DEV
🔄dbt
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Automated Regolith Mapping via Multispectral Drone Swarms and Bayesian Fusion
dev.to·23h·
Discuss: DEV
🔄Data Pipelines
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Deep Learning Analysis of Prenatal Ultrasound for Identification of Ventriculomegaly
arxiv.org·1d
🐻‍❄️Polars
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Adaptive Gradient-Free Optimization via High-Dimensional Feature Space Mapping & Ensemble Learning
dev.to·2d·
Discuss: DEV
🔄Data Engineering
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The Secret Life of Python: Generator Secrets - Functions That Remember
dev.to·2d·
Discuss: DEV
⚙️Generators
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3dSAGER: Geospatial Entity Resolution over 3D Objects (Technical Report)
arxiv.org·2d
🗺️OpenStreetMap
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Inclusion of Role into Named Entity Recognition and Ranking
arxiv.org·2d
🔄Data Engineering
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DiffRegCD: Integrated Registration and Change Detection with Diffusion Features
arxiv.org·1d
📓Jupyter Notebooks
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Day 2 at KubeCon + CloudNativeCon Atlanta 2025
youtube.com·12h
📡Event-Driven Architecture
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Quantifying Bias Drift in Real-World Data through Ensemble Stability Analysis
dev.to·10h·
Discuss: DEV
🔄Data Engineering
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Toward Automated Cognitive Assessment in Parkinson's Disease Using Pretrained Language Models
arxiv.org·6h
🔄Data Engineering
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Lightning Talk: Rate Limiting With Quotas Is Hard - So We Didn't! - Will Betts & Jay Chauhan, Tesco
youtube.com·1d
📨Kafka
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Tech With Tim: Is This the Fastest App Build Ever? (Base44 Demo)
dev.to·1d·
Discuss: DEV
🏛️Clickhouse
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The Prompt Engineer is Dead. Long Live the AI Systems Architect.
dev.to·1d·
Discuss: DEV
👀Code Review
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Building AI-Powered BSS: A Developer’s Perspective on Telecom’s Next Evolution
dev.to·2d·
Discuss: DEV
🔄Data Pipelines
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ConeGS: Error-Guided Densification Using Pixel Cones for Improved Reconstruction with Fewer Primitives
arxiv.org·2d
🐻‍❄️Polars
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