Mini Ingestion Framework (MIF-1)

Question

I built the Mini Ingestion Framework (MIF) — a deterministic, SOP‑driven future engine that turns simple user requirements into a complete Spark ingestion pipeline.

MIF uses a numbered SOP library to generate:

• a minimal SOP subset

  ordered ingestion steps

  deterministic Spark code

  ASCII documentation

  a validated Parquet output

  No guesswork. No drift. Just reproducible ingestion.

How it works:

• User provides requirements (rename, drop, metadata, schema, output).

  Rules Engine evaluates them against the SOP library.

  Minimal SOP subset is selected.

  Spark code is generated step‑by‑step.

  Output is a ready‑to‑run ingestion notebook.

Example input:

Code
rename:
circuited: circuit_id
drop:

• url
  metadata:
• ingestion_date
  output: parquet

MIF returns:

• SOP steps → 7B, 7A, 7C, 9B, 9J

  Spark code for each step

  Final ingestion notebook

Why it matters: (Need & Utility)

• Most ingestion pipelines are inconsistent and hard to audit.

  MIF introduces a repeatable, governed, standards‑based ingestion
  pattern for real data engineering teams.

Roadmap:

• Automated CLI

  Silver/Gold SOP subsets

  Schema registry integration

  Notebook generator

https://github.com/usman19zafar/Standardizing-Apache-Spark-

Author:
Usman Zafar — Foundational Architect & Cognitive Architect -- Rookie Data Engineer!