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MATHEMATICS & DATA / SPECIALIST

DAT210Data engineering, ETL & quality contracts

24 h productive allocation9 h 36 m learning + 14 h 24 m training4 units · 1 assessed practical brief

Detailed course plan and training brief. A complete taught course pack is in preparation. The linked foundation module, where shown, is a smaller available resource.

BEFORE YOU BEGIN

A clear starting point.

Prerequisites: DAT120 · AI101

Specialist studio; environment and faculty must be confirmed before scheduling

WHAT YOU SHOULD BE ABLE TO DEMONSTRATE

  1. Explain the assumptions and failure modes in data modelling.
  2. Complete the practical: build an incremental synthetic-data pipeline that rejects bad records and safely replays a batch.
  3. Defend the resulting pipeline code with reproducible evidence.

THE SUBJECTS / FOUR CONNECTED UNITS

What you will study.

UNIT 016 h allocated

Data modelling

  • Relational schemas
  • event data
  • identifiers
  • ownership
UNIT 026 h allocated

ETL and ELT

  • Ingestion
  • transforms
  • incremental loads
  • idempotency
UNIT 036 h allocated

Quality contracts

  • Schema
  • ranges
  • uniqueness
  • lineage and reconciliation
UNIT 046 h allocated

Operational data

  • Scheduling
  • late arrivals
  • backfills
  • failure and recovery

THE TRAINING STUDIO

Make the subject
visible in your work.

Build an incremental synthetic-data pipeline that rejects bad records and safely replays a batch.

Evidence to produce

  • Pipeline code
  • data contracts
  • reconciliation counts
  • replay test

Training brief for supervised delivery. Code, datasets, answer keys and environment acceptance must be completed in the full course pack before delivery is confirmed.

ASSESS THE REASONING

A question you
should be able to answer.

What prevents a retry from duplicating the same observations?

Review dimensions

Technical correctness · reproducibility · interpretation of results · failure analysis · individual explanation. Course-level rubric and faculty moderation form part of the final adopted teaching pack.

External reference access, hardware, cloud accounts and paid services are separate. No third-party certification is included by implication.

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