From Mapping Files to Data Plumbing
🔧Data Engineering
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
⚙️Query Compilers
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The Data Engineering Agent is now in preview
cloud.google.com·3d
🔧Data Engineering
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10 Polars One-Liners for Speeding Up Data Workflows
kdnuggets.com·12h
🐻Polars
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DS-STAR: A state-of-the-art versatile data science agent
research.google·8h
🏺Data Archaeology
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.org·2d
🔧Data Engineering
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Optimizing Datalog for the GPU
⚡DataFusion
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Redpanda 25.3 delivers near-instant disaster recovery, and more
redpanda.com·1d
🏠Data Lakehouse
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Announcing Magika 1.0: now faster, smarter, and rebuilt in Rust
blogger.com·6h
📋Tokei
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A Step-by-Step Guide to Implementing Microsoft Fabric with a Trusted Partner
🏛️Lakehouse Architecture
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Scaling data governance with Amazon DataZone: Covestro success story
aws.amazon.com·3d
🏛️Lakehouse Architecture
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Your AI Models Aren’t Slow, but Your Data Pipeline Might Be
thenewstack.io·6d
🌊Stream Processing
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🧭Vector Databases
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Why Multimodal AI Broke the Data Pipeline — And How Daft Is Beating Ray and Spark to Fix It
hackernoon.com·3d
📊Columnar Engines
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.com·2d
📊Columnar Engines
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American Wind Farms
📊Column Stores
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