---
title: "Databricks Partner Consulting | Data-Driven AI"
canonical: "https://data-driven.com/our-story/databricks-partner-consulting/"
description: "Plan Databricks consulting around the workload, data, owners, controls, and proof needed for the first delivery scope."
---

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.

[Visit Databricks](https://databricks.com)

![Illustration introducing a scoped Databricks consulting engagement](/_astro/Databricks-Partner-Consulting.19xM6My__Z18IXe7.webp)

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.

1.  **Who uses the result?**Name the user, decision, and expected timing.
    
2.  **What data is involved?**List sources, owners, known gaps, and update needs.
    
3.  **What controls apply?**State access, privacy, retention, and review needs.
    
4.  **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](/_astro/Data-Foundation-Architecture-noopt-1024x351.XVoASlp8_1h7QSn.webp)

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](https://www.meetup.com/en-AU/Sydney-Databricks-User-Group/) [Review partner evidence](/our-story/our-partners/)

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.

[Contact us](/contact-us/)

[Explore services](/our-services/)

## Want to learn more?

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

[Back to home](/)