🔀 ETL Patterns

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

The Production AI Agent Checklist
dev.to·15h·
Discuss: DEV
✅Data Quality
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Mastering Python Strings: A Deep Dive for Senior Developers
dev.to·10h·
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🏷️Python Typing
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dAttendance: An Agent-First Attendance Platform on Smart Postgres
dev.to·16h·
Discuss: DEV
📊Parquet
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Automated Anomaly Detection in Turbulent Flows via Recursive Feature Space Expansion
dev.to·14h·
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🔄dbt
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From Arrays to Insights: Statistics with NumPy and SciPy
dev.to·1d·
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🔁Python Itertools
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Progressive Learning: AI Deployment Strategies from Basic to Advanced
dev.to·2d·
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🔄Data Pipelines
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Automated pH-Responsive Polymer Network Fabrication via Adaptive Microfluidic Control
dev.to·2h·
Discuss: DEV
🔄Data Pipelines
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How to Build Your Own Agentic AI System Using CrewAI
towardsdatascience.com·1d
🤖GitHub Actions
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DevMind - AI-Powered Developer Second Brain
dev.to·20h·
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🦆DuckDB
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Ship Faster with Confidence: A 6-Step AI-Assisted Dev Pipeline
dev.to·2h·
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👀Code Review
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🐍 Using Python to Extend Go High Level’s Capabilities via API
dev.to·10h·
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🤖GitHub Actions
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Automated Requirements Traceability & Impact Analysis via Semantic Graph Reasoning
dev.to·2d·
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✅Pydantic
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7 Steps to Mastering Data Storytelling for Business Impact
kdnuggets.com·9h
🔄dbt
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I Taught Postgres to Fight Hackers - And It Worked (Agent Auth)
dev.to·19h·
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🏛️Clickhouse
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💻Your GitHub Speaks Louder Than Your Resume: A Tiger Cloud Story🐅
dev.to·18h·
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🔧Dagster
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Does More Data Always Yield Better Performance?
towardsdatascience.com·5h
🔄dbt
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What Prompt Engineering in 2025 Actually Looks Like (When You’re Trying to Build for Real)
dev.to·17h·
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🏗️Design Patterns
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I made a small CLI tool to analyze Go imports / aliases usage - wami
reddit.com·5h·
Discuss: r/golang
💻Command Line Tools
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Agentic Orchestrator with Tiger CLI
dev.to·16h·
Discuss: DEV
🔧Dagster
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Monitoring Autonomous Systems Telemetry: Building an HFT-Grade Network Analysis Pipeline for UDP-based Protocols
dev.to·14h·
Discuss: DEV
🔄Data Pipelines
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