Data Foundations Accelerator
Build a modern data platform for analytics and AI.
Create trusted data foundations for analytics and AI
Legacy architecture, fragmented data and manual processes can lead to slow reporting, inconsistent insights and rising platform costs. These challenges also make it harder to onboard new data sources, scale analytics and give AI applications access to reliable, governed information.
A modern data platform provides a consistent foundation for bringing data together, improving access and supporting new analytics and AI use cases as requirements evolve.
What is the Data Foundations Accelerator?
Arinco’s Data Foundations Accelerator helps organisations design and implement a modern Azure data platform for new or existing data estates. The solution supports Microsoft Fabric and Azure Databricks, with the platform architecture shaped around each organisation’s data, workloads and business priorities.
Reusable ingestion frameworks, metadata-driven patterns, infrastructure as code, DevOps and governance controls create a platform that teams can manage and extend as data volumes and use cases grow.
Why organisations use the Data Foundations Accelerator
A clear target data platform design aligned to your business priorities and future needs.
A modern, scalable Azure Databricks or Microsoft Fabric data platform built using repeatable patterns and strong governance.
Faster access to trusted insights, with self-service reporting and well-structured data models.
Reduced operational overhead through automation, IaC and cloud-native design.
A solid foundation for AI, ensuring your organisation is ready to adopt advanced analytics and intelligent applications.
Brighter Super reduces data processing costs by 90%
Brighter Super worked with Arinco to optimise its Azure Databricks platform, addressing high costs, slow processing, redundant code and difficulties onboarding new data sources. Arinco introduced lakehouse best practices and a reusable ingestion framework to create a more scalable and maintainable platform.
The impact:
- 90% reduction in data processing costs
- 50% improvement in performance
- 8,000+ lines of redundant code removed
- A reusable framework for onboarding new data sources
Frequently asked questions
What is a modern data platform?
A modern data platform brings together the technology, architecture and governance needed to ingest, store, process, manage and analyse data at scale. It helps organisations provide more reliable access to data for reporting, analytics, applications and AI.
Should an organisation use Microsoft Fabric or Azure Databricks?
The right platform depends on the organisation’s existing technology, data workloads, skills, governance requirements and intended use cases. Microsoft Fabric provides an integrated environment for data engineering, analytics and business intelligence, while Azure Databricks supports advanced data engineering, lakehouse and machine learning workloads. Some data architectures use both platforms.
How does a modern data platform support AI?
AI applications and agents need reliable access to relevant, governed data. A modern data platform helps bring information together, improve data quality, manage access and provide scalable pipelines for analytics, machine learning and AI-enabled applications.
Build the data foundations for what comes next
Talk to Arinco about creating a secure and scalable Azure data platform that supports trusted insights, advanced analytics and AI.