Data Engineering

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SDLC vs. AIDLC: Why Data Engineering is Pushing the Boundaries of Software Development

 ⚙️ML Infra  Content type: Blog
medium.com·

Exclusive: MotherDuck adds agentic data ingestion to its cloud analytics service

 🔄MLOps
siliconangle.com·

Run an Apache Airflow DAG with Docker Compose and PostgreSQL

 ☸️K8S
pyimagesearch.com·

Deep dive: How Lightning Engine delivers 4.9x faster Apache Spark performance

 🏛️Software Architecture  Content type: Blog
cloud.google.com·

Calculating speed estimates with Apache Spark

 🔄MLOps  Content type: Blog
mapbox.com·

Do data quality frameworks have to be so complex?

 🔄MLOps

Daily Deal: The 2026 Data Engineering Bundle featuring Databricks

 ⚙️ML Infra
techdirt.com·

What Went Wrong with Data Lakes? A 15-Year Reality Check from the Field

 🕸️Distributed Systems  Content type: Academic
arxiv.org·

Deploying Vector High-Performance Observability Data Pipeline on Ubuntu 24.04

 ☸️K8S  Content type: Reference  Content type: Tutorial
docs.vultr.com··DEV

Designing an ETL Application: Why I Started with a Modular Monolith Before Microservices

 🏛️Software Architecture  Content type: Blog
medium.com
·

Announcing general availability of Apache Spark 4.0 on Amazon EMR

 ⚙️ML Infra  Content type: Blog
aws.amazon.com·

Senior Data Engineer – Climate Friendly

 🏛️Software Architecture

Linux Fundamentals for Data Engineering

 🔄MLOps

Thermalright Introduces Peerless Assassin SE Series CPU Coolers

 🕸️Distributed Systems
techpowerup.com·

Introducing Streamling: Performant and Extensible Data Streaming Framework

 🏛️Software Architecture  Content type: News
streamingdata.tech·

Automating Real-time Data Pipelines: Deploying Pub/Sub to BigQuery with Dataflow Custom Template…

 🔄MLOps  Content type: Blog
medium.com
·

Exempt a specific container in MDC

 ☸️K8S

Ionic solid-state cooling from Ventiva: when cooling in compact AI systems becomes an architectural question

 🕸️Distributed Systems
igorslab.de·

benseverndev-oss/goldenmatch: Zero-config entity resolution that scales from a CSV to 100M+ rows on a Ray cluster (verified: 100M deduped in 213s, 0.30 GB driver). Fuzzy + exact + probabilistic dedupe, identity graph, PPRL, LLM boost. Python + full TypeScript port; SQL-native in PostgreSQL & DuckDB; MCP/REST servers, dbt + Airflow recipes.

 🐍Python  Content type: Code
github.com··Hacker News

Nike’s Coolest Running Innovation in Years Is a Lot Bigger Than the Brand Initially Let On

 🔄MLOps
gearpatrol.com·

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