📊 Big Data - CWhiting · Scour

Why data scientists should know data engineering 🛠️Data Engineering

mlops.community·1d

The new startup stack: From data pipelines to agentic AI systems 🚀AI Startups

yourstory.com·14h

Data Engineering on a Budget 🌊Data Streaming

blog.scottlogic.com·3d

Generative AI in the Real World: Chang She on Data Infrastructure for AI 📊Columnar Databases

oreilly.com·9h

DataMaster: Towards Autonomous Data Engineering for Machine Learning 🤖ML

SAS analytics moves closer to Snowflake, Databricks, and Fabric 🏢Data Warehousing

techzine.eu·6d

Depth Versus Breadth In Data Science Jobs Skills 📊Data Analysis

datascienceweekly.org·16h

Command-line Tools can be 235x Faster than your Hadoop Cluster (2014) 📊Columnar Databases

news.ycombinator.com·1d·Hacker News

Data Engineering at the Speed of Your Disk (Daniel Lemire, 2020) [video] 🛠️Data Engineering

youtube.com·1d·Hacker News

Astronomer Otto: A data engineering agent built for Apache Airflow 🛠️Data Engineering

computerweekly.com·5d

BatchBench: Toward a Workload-Aware Benchmark for Autoscaling Policies in Big Data Batch Processing -- A Proposed Framework 📊Columnar Databases

MLOps is 98% Data Engineering. ⚙️LLMOps

mlops.community·1d

CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing 🔬AI for Science

Building a Machine Learning Pipeline With DBT 🤖Machine Learning

mlops.community·1d

GraphFlash: Enabling Fast and Elastic Graph Processing on Serverless Infrastructure ☁️Serverless Databases

Is AI/ML Monitoring just Data Engineering? 🤔 🎯AI Training

mlops.community·1d

Bridging the (Analytics) Culinary Gap 🥗Nutrition APIs

mlops.community·1d

Nearly 25% of Data Teams Struggle with Communication When Building Data and ML Workflows 🔌Data Integration

mlops.community·1d

GenV: An Agentic Workflow for Actionable Insights from Google Meet Recordings ♊Gemini

mlops.community·1d

Bridging the Culinary Gap 🌊Data Streaming

mlops.community·1d

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