flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.org·1d
🏗️Cranelift
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From Mapping Files to Data Plumbing
🏗️System Design
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AI coding transforms data engineering: How dltHub's open-source Python library helps developers create data pipelines for AI in minutes
venturebeat.com·1d
🎭Program Synthesis
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How Datadog Built a Custom Database to Ingest Billions of Metrics Per Second
blog.bytebytego.com·19h
🗄️Database Engines
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Data Observability in Analytics: Tools, Techniques, and Why It Matters
kdnuggets.com·21h
👁️Observability
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Replication redefined: How we built a low-latency, multi-tenant data replication platform
datadoghq.com·1d
🤝Paxos
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.com·13h
💬Prompt Engineering
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Building Data Tools That Work
💰TigerBeetle
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Going From Reactive to Predictive Incident Response with AIOps
hackernoon.com·13h
⚡Performance Engineering
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A Step-by-Step Guide to Implementing Microsoft Fabric with a Trusted Partner
⚡ClickHouse
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Show HN: Extrai – An open-source tool to fight LLM randomness in data extraction
🔥DataFusion
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Design-Based Supply Chain Operations Research Model: Fostering Resilience And Sustainability In Modern Supply Chains
arxiv.org·5h
🎨Design Systems
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MariaDB vs. PostgreSQL: Understanding the Architectural Differences That Matter
🗄️Databases
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DevOps Workflow: The Key Elements and Tools Involved
devops.com·1d
🔧DevOps
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