A+ rating
Average 5.00 ratingBig Data Consulting Services - Australia
CDU delivers full-stack big data services, from strategy and architecture through to fully managed operations. Every service below works as a standalone engagement or as part of a wider data transformation programme.
Big Data Consulting
We start with a structured big data consulting engagement that maps your current data sources, pipelines and reporting gaps against your budget, timeline and business goals.
Data Architecture & Modernisation
We review your existing data architecture and design a scalable, cost-efficient path forward, whether that's a full rebuild or targeted fixes to what you already have.
Big Data Implementation
Our big data consultants build your data platform end-to-end from ingestion and storage to processing and analytics with a complete hand-over to your in-house team.
Data Science & Machine Learning Consulting
You will be supported by data scientists who turn your data into predictive models and machine learning solutions built to run in production, not just a notebook.
Big Data Managed Services
Our ongoing big data managed services cover pipeline monitoring, platform administration and on-call support during Australian business hours.
Business Intelligence & Data Visualisation
Our team builds Power BI, Tableau and Looker dashboards that decision-makers actually open, backed by a data model that doesn't fall over when someone adds a filter
Data Engineering Services
We design and build reliable, well-tested data pipelines that move data from source systems into your warehouse or lake without breaking on the next schema change
Data Governance & Security
We build data quality checks, access controls, lineage and compliance practices directly into your pipelines, so trust in the data doesn't depend on manual checking.
Data Warehouse & Data Lake Consulting
We architect modern data warehouses and lakehouses on Snowflake, Databricks, BigQuery or Redshift, built around how your business actually queries data.
Cloud Data Platform
We migrate legacy on-premises data warehouses to AWS, Azure or Google Cloud with minimal downtime and a clear cutover plan your team can follow.
ETL/ELT Pipeline Development
We build and modernise ETL/ELT pipelines with tools such as dbt, Airflow and Azure Data Factory, so transformations are version-controlled, tested and easy to trace.
Real-Time Data Streaming
You will be able to act on events as they happen, with streaming pipelines built on Kafka, Kinesis or Event Hubs for fraud detection, personalisation and operational alerts.
Big Data Technology CDU Works With
Platform-agnostic across AWS, Azure and Google Cloud, CDU recommends the right tool for your data volume and budget not the one we know best.
From data engineering and analytics to cloud platforms, streaming, BI and AI, we provide the right Big Data expertise for your business. Our capabilities span Hadoop, Spark, Kafka, Flink, Snowflake, Databricks, BigQuery, Redshift, Airflow, dbt, Power BI and Tableau. This approach gives you flexible access to skilled specialists who integrate with your existing data platforms, tools and delivery processes.
Benefit’s the Services
Get the right IT talent, tailored to your team’s needs.
Tailored Talent Selection
Flexible Engagement Options
Scalable IT Teams
Connected Technology Skills
Big Data Processing
Apache Hadoop Apache Spark Apache Kafka Apache Flink
Cloud Data Platforms
Snowflake Databricks Google BigQuery Amazon Redshift Azure Synapse
Data Orchestration & ETL
Apache Airflow dbt Azure Data Factory Fivetran
BI & Visualisation
Power BI Tableau Looker Qlik
Cloud Platforms
AWS Microsoft Azure Google Cloud
How Our Big Data Engagement Process Works
A structured path from first data maturity assessment to fully managed big data operations, with outcomes our clients can measure
Data maturity assessment
Roadmap & fixed-scope quote
Build, migrate or engineer
Validation & handover
Managed support
Hey 👋 I am Gokul, Sr. Business Consultant
Let's talk about your growthWe tell you what's actually broken
If the real bottleneck is data quality or process, not tooling, we'll say so before recommending a costly platform rebuild.
What Changes After a Big Data Consulting Engagement
The figures below reflect the typical ranges our clients have reported across recent engagements, not guarantees results depend heavily on where your data estate starts from.
User Training
60%
Faster OnboardingIntegrations
130+
Dealerships ConnectedOperations
99.9%
Platform Availability
Choose how you want to start
Org Health Check
Audit your existing org to find quick wins before investing further.
- Full architecture review
- Security & compliance audit
- Performance analysis
- Recommendations report
Implementation
POPULARFull cloud setup from scoping to go-live with fixed-price delivery.
- Sales or Service Cloud Core
- Custom Apex / LWC logic
- Full data migration & QA
- Comprehensive user training
Managed Services
Dedicated admin support without the overhead of a full-time hire.
- 24/7 technical helpdesk
- Automation & workflow shifts
- Release and health compliance
- Config and report build-outs
Trusted by Businesses.
Backed by Results.
Real partnerships. Honest feedback. See why organisations across Australia trust Cloud Downunder to design, build, and support their digital products.
Top B2B Company
4.8
out of 5Verified Google Reviews
4.8
out of 5Top Software Development Company
4.8
out of 5Frequently Asked Questions
Everything you need to know about Cloud Downunder's services, process, and Australian-local approach.
Still have questions?
We're here to help. Reach out directly and our specialists will respond within 2 business hours.
A big data consultant in Australia designs and builds the pipelines, cloud data platforms and analytics systems that turn raw data into decision-ready insight — covering data engineering, warehousing, streaming and BI. Most Australian businesses engage big data consultants either project-based, for implementation, or through an ongoing managed data services partner.
Cost depends on scope — a fixed-price data maturity assessment is the usual starting point, followed by a scoped implementation project or an ongoing managed services retainer. Most engagements are quoted after a short discovery call once we understand your current data sources and platform.
A big data implementation typically covers data pipeline build, data warehouse or lakehouse setup, ETL/ELT development, BI dashboard build, and documentation and handover to your team.
A project-based consultant suits a defined build with a clear end date, while managed big data services suit teams that need ongoing pipeline monitoring, platform administration and incident response without hiring a full in-house data team. Many Australian businesses use both.
A data warehouse stores structured, modelled data optimised for reporting, while a data lake stores raw data of any format at lower cost. A lakehouse, built on platforms like Databricks, combines both, giving you warehouse-grade reporting with lake-scale storage.
A single pipeline typically takes one to four weeks, depending on source system complexity, data volume and how many transformations are needed. Multi-source or enterprise-wide platforms are usually rolled out in phases.
Yes. Our managed big data services cover pipeline monitoring, cost optimisation, platform upgrades and incident response for Snowflake, Databricks, BigQuery and Redshift environments, supported during Australian business hours.
Yes. We plan and execute cloud data platform migrations from on-premises or legacy systems to AWS, Azure or Google Cloud, including a parallel-run and cutover strategy that avoids reporting downtime.
Big data consulting covers the full data estate — ingestion, storage, processing and governance — while BI consulting focuses specifically on the reporting and visualisation layer on top of that data. Most engagements need both working together.
Yes. Once your data pipelines and platform are solid, we help design, build and deploy machine learning models into production, along with the monitoring needed to keep them accurate over time.
Ready to scale your growth?
We help ambitious teams build digital products and campaigns that convert.
How can I get in touch?
Reach us via the contact form, email, or phone. We'll connect you with the right expert.
What support do you offer?
From strategy and design to development, cloud, AI, and ongoing support we're with you every step.
How fast will I get a reply?
We typically respond to all enquiries within 1 business day.
