Data & Analytics

Modern Cloud Lakehouse Architecture: One Platform for All Your Data

A scalable cloud lakehouse that unifies structured and unstructured data in one governed platform, cutting reporting time and cloud cost while supporting BI, machine learning and AI.

Sydney-based teamReply within 24 hoursNo-obligation consultation

Cloud lakehouse architecture that simplifies your data estate

Separate data warehouses, lakes and spreadsheets create duplicate data, rising costs and slow reporting. A cloud lakehouse combines the low-cost, flexible storage of a data lake with the performance and governance of a data warehouse, so one platform serves analytics and AI.

Our cloud lakehouse architecture service covers design, build and migration: storage layers, table formats, medallion (bronze, silver, gold) modelling, security and cost management. It becomes the foundation for Power BI reporting, master data management and machine learning.

What we deliver

A lakehouse designed for performance, governance and cost control.

01

Architecture and platform selection

We evaluate options against your workloads, skills and budget, and design a fit-for-purpose target architecture.

02

Medallion data modelling

Layered bronze, silver and gold zones that move data from raw to trusted, analytics-ready tables.

03

Ingestion and pipelines

Batch and streaming ingestion from your operational systems, files and SaaS tools.

04

Governance and security

Catalogue, lineage, role-based access and data classification for confident, compliant use.

05

Performance and cost optimisation

Partitioning, caching and workload management that keep queries fast and cloud spend predictable.

06

Migration from legacy platforms

Planned, low-disruption migration from existing warehouses, lakes and on-premises databases.

How we work

A clear, low-risk path from first conversation to a working result.

Step 1

Discover

We assess your current data estate, workloads, costs and goals.

Step 2

Design

We design the target architecture, zones, security model and migration plan.

Step 3

Build

We build the platform and migrate data in phases, validating results against existing reports.

Step 4

Launch & improve

We hand over with documentation and monitoring, and tune performance and cost over time.

What you can expect

The practical difference this service makes to your team.

One platform

Analytics, BI and AI working from the same governed data.

Faster reporting

Optimised storage and models reduce wait times.

Lower cloud cost

Right-sized compute and storage with clear visibility.

Future-ready

A foundation that supports new data and AI use cases.

Cloud lakehouse FAQs

Straight answers to the questions we hear most.

What is a data lakehouse?

A lakehouse combines a data lake’s flexible, low-cost storage with a data warehouse’s structure, performance and governance, supporting BI, data science and AI on one platform.

Lakehouse or data warehouse: which should we choose?

It depends on your data types, workloads, skills and budget. We assess your needs and recommend the simplest architecture that meets them.

Can you migrate our existing warehouse?

Yes. We plan phased migrations that validate each step against current reports, minimising disruption.

How do you control cloud costs?

Through right-sizing, efficient data layouts, workload scheduling and monitoring with budgets and alerts.

Industries we support

We tailor every engagement to the way your sector works.

Let’s talk about Modern Cloud Lakehouse Architecture.

Tell us what you need and our Sydney team will get back to you within 24 hours.

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