Traditional data architectures create a number of business challenges:
We provide a full range of services to support your integration of cloud technology into your data platform and modern data architecture
Recognising the limitations and growing cost of managing a traditional on-premises data warehouse, the business identified the need to transform their architecture to handle both structured and unstructured data with the required processing power and scalability.
Our Cloud Architect led a cloud transformation team to move on-premises MI Data Warehouse from a traditional Microsoft BI stack to a Cloud architecture, including Microsoft and Databricks technology, using Terraform for health monitoring and cloud spend optimisation.
Having shaped the strategy to achieve their future-state data architecture, the business requested our assistance to resolve a number of technical challenges across different aspects of the data architecture.
We were engaged as a consultant to the client’s Architecture team to advise them on the development of their modern data architecture. By combining our experience of Cloud and Kafka technologies, together with data models for digital enterprises, we were able to help the client resolve multiple technical challenges with the architecture, design and deployment of their target platform, including proof of concepts to validate system design.
Companies need to align data architecture to modern data architectures that are driving their business operations: