Data Migration & Modernisation
Data Migration & Modernisation: Seamlessly transition your legacy data systems to the modern cloud. We ensure secure, efficient, and zero-disruption data migrations
Modernise Without the Risk
Legacy systems slow down transformation and stifle innovation. We help organisations migrate from on-premise databases or outdatedcloud data warehouses to modern lakehouse architectures. Our migration approach is designed to minimise risk,ensure data integrity, and accelerate your time-to-value on the new platform.
Migration Strategy & Planning
Comprehensive assessment of your existing data estate and development of a phased migration roadmap
Legacy System Decommissioning:
Safely migrating data from legacy systems like Hadoop, Netezza, or traditional RDBMS to the cloud.
Cloud-to-Cloud Migrations
Optimising your data architecture by migrating to best-in-class platforms like Databricks.
Schema Evolution & Transformation
Adapting and optimising your data models for thetarget platform to ensure maximum performance.
Data Reconciliation & Validation
Implementing parallel running and automated reconciliation frameworks to verify 100% data integrity and consistency between legacy sources and the new cloud destination.
What We Deliver
End-to-end platform engineering from strategy through to production deployment.
Data Strategy & Lakehouse Design
Define modern data architectures, target schemas, and migration roadmaps. Design high performance storage structures and data governance models tailored for enterprise analytics and AI workloads.
Pipeline Migration & DataOps
Transition legacy ETL pipelines into optimized Databricks environments using Delta Live Tables (DLT). Build automated deployment workflows and orchestrate workloads using Databricks Jobs with security built in.
Unified Governance Architecture
Implement centralised security models using Databricks Unity Catalog. Establish fine grained access control across catalogs and tables, ensuring secure data sharing across multi tenant data estates.
Policy & Compliance
Enforce row and column level access controls, automated data classification, and runtime auditing. Ensure complete regulatory compliance across business intelligence layers and AI discovery environments.
Data Engineering Experience
Create standardised pipeline templates, interactive workspace environments, and self service ingestion capabilities. Enable data teams to build, test, and deploy fast with enterprise guardrails embedded natively.
Data Observability & Quality
Deploy end-to-end data quality monitoring, comprehensive lineage tracking, and automated anomaly detection. Monitor pipeline performance and track data freshness with real-time alerts using Databricks System Tables.