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Data

Design a data estate against carbon, energy, water and waste, from sourcing through to disposal.

Thirteen modules following the data lifecycle: source, model, store, process, place, serve, index, retain, dispose and telemetry, each measured against SCI, and each ending in the design gate that stage cannot be signed off without.
10h 40m
of learning
13
modules
30 questions
final assessment
80%
to pass
Certification
on completion

Green Data Practitioner

What
How
Tools
Who

How the course works

One lifecycle, one expression

SCI runs through all thirteen modules, with E split into stored, moved and scanned, I as the carbon-aware term, M as media and servers, and R as the functional unit you choose.

A design gate at every stage

Each of Modules 3 to 11 ends with the question to require before sign-off, and Module 12 assembles the nine into a review artefact.

Patterns with the trade stated

Around fifty catalog entries, each naming the term it moves and whether it saves once or on every hour, query or run.

What this course helps with

See where a data estate actually costs

Stored, moved and scanned bytes run on three different clocks, and the mechanism that dominates a service is frequently not the one it is named after.

Design it in rather than remediate it

Almost every expensive data decision is cheap when it is taken and paid at a later stage — the course puts the question before the decision.

Cover what the estate-level courses leave short

Warehouse layout, index and vector economics, retention authority and telemetry get a module each rather than a section.

Who this is for

  • Data engineers and analytics engineers

  • Database, warehouse and platform engineers

  • Data architects and technical leads responsible for a data estate

  • ML and AI engineers who own retrieval, feature or vector stores

  • Assumes working familiarity with data systems; no sustainability background required

Related courses:

For estate-wide architecture across six layers, see Green and Efficient Architect; for training-side model decisions, see Green AI for ML Practitioners; for producing the underlying figures, see SCI for AI Practitioner.

What you will work with

The three mechanisms

Why a small hot table can cost more than a large cold archive, and which lever works on each.

The copy count

One 1.2 TB warehouse, nine physical copies, and the policies that created them separately.

The Green Data Blueprint

Four blocks (assessment, measurement plan, pattern register and governance wiring) bound by a traceability test.

What you will be able to do

  • Separate stored, moved and scanned bytes as three cost mechanisms, and identify which dominates a service

  • Rate a data estate with evidence levels, and turn each unknown into a measurement action

  • Design schemas, storage and copies around how the data is actually used
  • Replace full reloads with incremental processing, and schedule flexible work for lower-carbon times
  • Measure dark data, and verify that deletion reaches every copy
  • Assemble the nine design gates into a review and a Green Data Blueprint

Course Lessons

The full course

Every module ends with an application exercise and a worked solution.

01

Why Water, and Why You

Software feels dry, but the buildings it runs in use water for cooling, the electricity it consumes was made using water, and the hardware was manufactured with it. This module shows those three connections and closes the gap between the people who can see the water and the people who change the software.
module-01

02

The Four Layers: building, electricity, hardware, and the stress conversion

This module gives the three ways software uses water their proper names, as the draft SWI specification uses them, and adds a fourth layer that converts litres into how much each litre matters. It ends with the only line of arithmetic in the course.
module-02

03

Consumption and Withdrawal: used up vs borrowed

Water figures come in two kinds, and confusing them is the most common mistake in reading them. This module teaches the distinction between water used up and water borrowed and returned, and the rule that the two are never added together.
module-03

04

Reading a Water Number

This module teaches no calculations. It teaches how to look at any water figure, whether a provider report, a news headline or a colleague’s slide, and know what it does and does not say.
module-04

05

Stress-Adjusted Water: a liter is not a liter

The same liter counts for more where water is scarce and for less where it is plentiful. This module turns that idea into arithmetic using a published factor per place, giving the conversion layer its full treatment at foundation depth.
module-05

06

Small Things That Save Water

The earlier modules built a vocabulary; this one turns it into actions small enough to take this week, organised by role. None of them needs a water meter, a budget or permission to run a project.
module-06

07

Final Assessment

A final assessment of 12 questions - 80% to pass, 30 minutes, retake available.
Final Assessment

Assessment & Certification

How you are assessed

  • A short knowledge check after every module, drawn at random from that module’s pool
  • A final assessment of 30 scenario-judgement questions from a pool of 195
  • 80% to pass, 60 minutes, retake available
  • Questions test judgement in situations you will meet — not recall of figures that date

What you earn

GSF Certification
Green Data Practitioner
  • Issued on passing the final assessment
  • Valid for 2 years, refreshed by a short update module
  • Shareable credential for your profile, CV and tender responses

Time to complete

Reading and exercises
10h 40m across 13 modules
Knowledge checks
About 5 minutes per module
Final assessment
60 minutes
Typical completion
2–3 weeks at a module per session, entirely self-paced

Join the Pilot

The GSF Academy is currently in pilot. If your organization would like to enrol learners and issue GSF certifications to your teams, tell us a little about what you need and we'll follow up to discuss access, pricing, and enrolment.

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