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The Hidden Cost of Manual ETL — And How AI Is Rewriting Data Engineering
dev.to·7h·
Discuss: DEV
⚙️Batch Processing
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The Data Detox: Training Yourself for the Messy, Noisy, Real World
kdnuggets.com·3h
🧪Data science
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Show HN: QueryGlow – Self-Hosted Database GUI (Postgres, MySQL, SQLite)
queryglow.com·6h·
Discuss: Hacker News
🦀Rusty Databases
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Data Engineering Processes: From Raw Data to Cleaned, Processed, Analytics-Ready Data.
dev.to·1d·
Discuss: DEV
🔗Data Provenance
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CloudSEK Hiring CTF Writeup
infosecwriteups.com·11h
🧪Binary Fuzzing
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4x Faster: How AI-Assisted Development Accelerated Building New SQL Dialects for Zero Copy Connectors
engineering.salesforce.com·2d
⚙️Batch Processing
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REshare Ramblings - Bad Vibes with IDA
scrapco.de·2d
🔧KAITAI
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Terraform: From Zero to Hero
playfulprogramming.com·1d
🧱Immutable Infrastructure
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Rethinking Data Integrity: Why Domain-Driven Design Is Crucial
thenewstack.io·3d
🔄Schema Evolution
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CI/CD Evolution: From Pipelines to AI-Powered DevOps • Olaf Molenveld & Julian Wood • GOTO 2025
youtube.com·7h
🔄Reproducible Builds
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Why Performance Testing Must Evolve for the DevOps Era
blog.devops.dev·11h
👁️System Observability
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Docify: Building a Production RAG System for Knowledge Management
dev.to·1d·
Discuss: DEV
📄Document Streaming
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Rebuilding Our Website for the Agent Era
prefect.io·3d·
Discuss: Hacker News
🦋Format Metamorphosis
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What's the Difference Between an ACID and a BASE Database
aws.amazon.com·3d·
Discuss: Hacker News
📝Database WAL
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Copying everything off a zpool, destroying it, creating a new one, and copying everything back
dan.langille.org·4d
💿ZFS Internals
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Accelerating Issue Resolution With A Modern Data Lakehouse Built on MinIO AIStor
blog.min.io·4d
🌊Stream Processing
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I Built a Rust Data Engine That Hit #1 Trending — Here's What Actually Worked
dev.to·2d·
Discuss: DEV
🦀Rust Macros
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Thirty Slices/Twenty-Four Days: How Christmas Was Saved by Abandoning Estimation
perladvent.org·1d·
Discuss: Hacker News
⚙️Proof Engineering
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The Easiest Snowflake Cost Win: Switch ETL Staging to Transient
hackernoon.com·5d
⚙️Batch Processing
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Day 14: Building a Real Retail Analytics Pipeline Using Spark Window Functions
dev.to·1d·
Discuss: DEV
🌊Stream Processing
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