ISW | Databricks implementation services, Australia

Right platform. Right start. Built to scale.

Considering Azure Databricks? You've made a great choice, but getting started the right way is critical to long-term success.

ISW is a certified Databricks implementation partner, proudly Australian-owned with over 30 years delivering enterprise data and analytics solutions. Our certified engineers, analysts, and governance specialists set you up for success from day one.

Scope Options

Small

Audience: SMB
Workspaces: 1
Source tables: up to 100 (1 data source)
Max columns: avg 100 per table
Run time: 1 hour daily, or 30 hours/month
Implementation: 2 weeks
Sample scenario: A small team standing up their first Lakehouse pipeline on Azure
Typical sources: A single CRM or line-of-business application
Target(s): Fabric Lakehouse + Power BI dashboard
Best for: proving value fast — cleanse one data set, once-off or scheduled

Medium

Audience: Enterprise/Gov/Public Sector
Workspaces: 2
Source tables: up to 500 (2–3 data sources)
Max columns: avg 100 per table
Run time: 4 hours daily, or 120 hours/month
Implementation: 8 weeks
Sample scenario: A department consolidating reporting across CRM and ERP into one governed platform
Typical sources: CRM + ERP + flat file (SFTP)
Target(s): Fabric Warehouse + Power BI dashboard + email alerts
Best for: a business process with recurring reconciliation pain

Large

Audience: Enterprise/Gov/Public Sector
Workspaces: 3 or more
Source tables: up to 5000 (up to 5 data sources)
Max columns: avg 100 per table
Run time: 12 hours daily, or 360 hours/month
Implementation: 16 weeks (phased)
Sample scenario: An enterprise-wide Lakehouse program spanning multiple business units and source systems
Typical sources: CRM, ERP, e-commerce, legacy database, supplier files
Target(s): Fabric Lakehouse (bronze/silver/gold), Power BI, write-back to CRM/ERP, MDM Platform
Best for: an enterprise data capability and roadmap to data governance

Book a cnsultation

Why choose ISW

Local & Experienced

An Australian team with 30+ years delivering enterprise data and analytics solutions.

Certified Databricks Specialists

Certified in Data Engineering, Analytics, and Governance, so your implementation follows best practice from day one.

Multi-Platform Partner

Authorised reseller and implementation partner for Databricks, Microsoft, AWS, Snowflake, IBM, and Informatica.

Cloud Agnostic

We deploy on Azure, AWS, or GCP, built around what's right for you.

Flexible Engagement Models

Fixed price or time & materials, whichever fits your project.

We Scale With You

From a focused pilot to an enterprise-wide platform.

See what this looks like for your data

Every Databricks engagement starts with a short assessment, not a contract. Tell us what you're working with, and we'll scope it from there.

Book a consultation

From Discovery to Delivery

Assessment

One to two days of assessment to understand your current data landscape, define your Databricks use case, and deliver a clear scope, timeline, and fixed-price estimate.

Week 1 — Discovery & Architecture Design

Understand your current data sources, pipelines, and business requirements; design your Databricks Lakehouse architecture (Bronze, Silver, Gold layers); define your data ingestion, transformation, and serving strategy; set up and configure your Databricks workspace on Azure.

Week 2–3 — Implementation

Build and deploy your end-to-end data pipeline using PySpark, Python, and SQL; implement Delta Lake tables, optimised for performance and cost; configure Unity Catalog for data governance, access control, and lineage tracking; connect to your data sources using Azure Data Factory, Informatica, or native Databricks connectors; develop an initial analytics or BI layer in Power BI or your preferred visualisation tool.

Week 4 — Finalise, Document & Train

Complete technical documentation, host BAU support training for the use case, and cover best practices for governance and Unity Catalogue; deliver a future roadmap and recommendations.

Deliverables

Your lakehouse, ready to run

Databricks Lakehouse fully set up, configured, and optimised for your environment.

End-to-End Pipeline

Data pipeline implemented from ingestion to serving, for your specific use case.

Governed Data

Unity Catalog configured for governance, lineage, and access control.

First Insights, Live

An initial analytics or BI report deployed.

Documentation and training

Full technical documentation and guides, plus a training and governance session for your BAU team and best practice.

Your roadmap forward

A future roadmap with time and effort estimates for your broader Databricks goals.

FAQ

Do I need anything in place before we start?

No — just come and talk to us.

Is there a cost to get started?

We offer a free one-day assessment for qualified customers, and can work with fixed-price engagements, time & materials, or an MSA with flexible pre-purchased hours that never expire.

Does this work with my existing tools?

Yes — we connect to your data sources using Azure Data Factory, Informatica, or native Databricks connectors, and build your BI layer in Power BI or your preferred visualisation tool.

Book a consultation

ISW is trusted by companies worldwide

Talk to the experts

Nick Young

Business Development Manager NSW

ISW

Nick leads operational strategy and service delivery with a strong focus on data management and integration. With deep expertise in Informatica and enterprise data platforms, he helps organisations streamline processes, scale efficiently, and make smarter, data-driven decisions to support long-term business transformation.

https://www.linkedin.com/in/nickwyoung/

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