🔀 ETL Patterns

Data Engineering, Extract Transform Load, Data Pipelines, Batch Processing

I made a small CLI tool to analyze Go imports / aliases usage - wami
reddit.com·8h·
Discuss: r/golang
💻Command Line Tools
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Agentic Orchestrator with Tiger CLI
dev.to·19h·
Discuss: DEV
🔧Dagster
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Monitoring Autonomous Systems Telemetry: Building an HFT-Grade Network Analysis Pipeline for UDP-based Protocols
dev.to·17h·
Discuss: DEV
🔄Data Pipelines
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Self-Healing Application Framework - Autonomous Issue Resolution with Agentic Postgres
dev.to·1d·
Discuss: DEV
🏛️Clickhouse
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AI's Secret Agents: Revolutionizing Enterprise Insights with Autonomy
dev.to·1d·
Discuss: DEV
🔄Data Pipelines
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FastAPI Template
dev.to·8h·
Discuss: DEV
✅Pydantic
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Predictive Modeling of Dendritic Cell Maturation via Multimodal Integration
dev.to·1d·
Discuss: DEV
🔄dbt
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From SEO Playbooks to GEO Architectures
dev.to·2h·
Discuss: DEV
🗺️OpenStreetMap
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Hyper-Specific Sub-Field Selection: **Predictive Maintenance of Semiconductor Fabrication Equipment**
dev.to·3d·
Discuss: DEV
🔄Data Pipelines
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Black Hat Europe 2025 Arsenal: 8 AI Security Tools Transforming Cybersecurity
dev.to·22h·
Discuss: DEV
🔧Dagster
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How I Utilized AI to Refactor a 2000-Line Monolithic Component
dev.to·2d·
Discuss: DEV
🏗️Design Patterns
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ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
arxiv.org·22h
🔄dbt
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**Technical Challenge:**
dev.to·5h·
Discuss: DEV
🔄dbt
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Building Efficient Stream Processing Pipelines with Backpressure Control in Golang
dev.to·2d·
Discuss: DEV
📨Kafka
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Learning SQL: The Language Behind Your Data
dev.to·1d·
Discuss: DEV
🏛️Clickhouse
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From Product Manager to AI Builder: What It Takes to Go from Prompt to Production
dev.to·1h·
Discuss: DEV
🤖GitHub Actions
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Dynamic Circular Economy Modeling via Hybrid Bayesian Network and Agent-Based Simulation Calibration
dev.to·19h·
Discuss: DEV
🔄Data Pipelines
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Preventing AI Project Failures Through Effective Prompt Engineering
dev.to·1d·
Discuss: DEV
✅Pydantic
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The Best LLM and AI Orchestration Toolkits for Your Stack
dev.to·14h·
Discuss: DEV
🔄Data Pipelines
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QuAnTS: Question Answering on Time Series
arxiv.org·22h
📓Jupyter Notebooks
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