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This site publishes short notes on large-scale data mining under real limits: storage and compute choices, checks, benchmarks, and reuse. Coverage also includes pipeline patterns, framing, twin builds, automation, and LLM systems when they help.
What shows up here
- How to store large data without waste
- How to clean large files with limited memory
- How to choose formats and processing methods
- How to reduce cost while keeping results stable
What does not show up
- News recycling
- Long intros before the fix
- Untested claims
- Random topics without a clear outcome
Quick links
For a clear boundary on topics and writing style, see the scope page.