Large Data Notes Guides • Benchmarks • Templates

Short notes on large-scale data mining under real limits: checks, pipeline patterns, automation, LLM systems, and twin builds when they affect results.

Short notes that help on the next run

Large data work fails in boring ways: type drift, memory growth, bad partitions, slow writes. This newsletter is built around fixes, checks, and decisions that can be reused.

What to expect

  • One short note at a time
  • Clear checks and a next step
  • No spam and easy unsubscribe

Case-first

Each note uses a real case structure, not a generic summary.

  • Symptom (what failed)
  • Constraint (why it happened)
  • Change (what was done)
  • Check (how correctness stayed stable)

Guides that end in a choice

Notes link back to guides with trade-offs and a clear next step.

  • CSV vs Parquet
  • Sampling without bias
  • Chunk sizing decisions
  • Validation habits

Templates that save time

Each note includes a small reusable block: checklist, plan, or run notes format.

  • Pipeline review checklist
  • Sampling validation checklist
  • Conversion plan
  • Run notes format
Preference picker

Use this to decide what to follow. Later it can connect to a real email provider.

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Memory Types Formats Joins Sampling Validation Cost
Current selection Monthly notes covering memory, types, and formats.
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Is it marketing?

No. Notes focus on repeatable work: constraints, changes, and checks.

Will it stay low frequency?

Yes. The site is built for depth, not volume.

Can it be used across domains?

Yes. The content focuses on pipeline behaviour, not domain terms.

When will real subscription be added?

After deployment. The page is structured so a provider embed can replace the placeholder form.