Databricks consulting

Databricks consulting for a defined workload

Start with the data, users, owners, controls, and result the platform must support.

Scope before platform detail

Define what the workload must do and prove

A useful Databricks scope starts with one real task. Name the source data, users, owners, access rules, limits, and proof for the next choice.

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Illustration introducing a scoped Databricks consulting engagement

Page artwork is not proof of a current partner designation.

First-scope inputs

The design starts with the task and proof

WorkloadThe task and users it must support

DataSources, quality, scale, and timing

OwnersAccess, operations, and decisions

ProofThe test for the next decision

Discovery questions

The same platform can serve very different needs

The answers show if the first scope needs data loads, quality checks, reports, models, or a smaller test.

Who uses the result?Name the user, decision, and expected timing.
What data is involved?List sources, owners, known gaps, and update needs.
What controls apply?State access, privacy, retention, and review needs.
What will prove value?Choose a test that supports the next decision.

Possible work areas

Select only what the workload needs

These are areas of work, not promised results. Test the design with the current Databricks product and your own setup.

PipelinesIngestion, change, quality checks, and recovery.

AnalyticsModels, queries, reports, and user access.

ModelsExperiments, evaluation, release, and monitoring.

Architecture boundary

An example diagram is not a target design

This image shows one broad data platform design. Your design may differ due to its sources, scale, identity, network, region, recovery, cost, and owner.

Use the image to start questions, not to approve a design.

Example high-level data foundation architecture

Status and community

Check live sources before relying on a current claim

Partner status, product features, event dates, and group leaders can change. Check them with the platform owner or live event page.

Check the Sydney Meetup Review partner evidence

This page has linked to the Sydney Databricks user group. Use the live Meetup page for current events and group leaders.

Have a Databricks workload to define?

Bring the users, data, owners, rules, and result you need to prove first.

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Want to learn more?

Explore the rest of the site or get in touch with the team.

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Databricks consulting for a defined workload

Define what the workload must do and prove

The design starts with the task and proof

The same platform can serve very different needs

Select only what the workload needs

An example diagram is not a target design

Check live sources before relying on a current claim

Have a Databricks workload to define?

Want to learn more?

Explore

Get in Touch

Evidence & Community

Office

Assurance and credentials

Bring AI spend into the FinOps review