Technology > Data & Artificial Intelligence
Databricks Consulting
“Unify Your Data. Accelerate Your Future.”
Databricks brings data engineering, analytics, and AI together on one powerful platform, so you can innovate without limits.
Why Use Databricks.
Palantir’s platforms Foundry and AIP are designed for operational intelligence at scale. We can be used to:
- Fuse data across agencies and domains for unified situational awareness
- Model and simulate operations to support strategic planning and rapid response
- Enable secure, role-based collaboration across classified and open environments
- Drive real-time decisions with AI-enhanced analytics and scenario modelling
From battlefield logistics to civil contingency planning, Palantir capabilities can meet the unique demands of defense, public sector as well as enterprise missions.
Databricks Powers Possibilities
At Avonshire, we redefine the future of decision-making by integrating the power of Palantir’s AI platforms into enterprise ecosystems. Our mission is to help institutions unlock the full potential of their data — turning complexity into confidence and insight into impact.
From government agencies to private sector leaders, organisations across industries trust Avonshire to deploy secure, scalable and intelligent solutions that reshape how they work, plan, and respond to challenges.
Our Databricks Services
“One Platform. Endless Possibilities.”
Whether it’s data science, machine learning, or lakehouse architecture, Databricks gives you the tools to lead with confidence.
Lakehouse Architecture Design
Designing unified architectures with the Databricks Lakehouse Platform allows us to seamlessly integrate the scalability of data lakes with the performance and reliability of data warehouses.
Our approach simplifies data management by consolidating structured, semi-structured, and unstructured data into a single platform. We support advanced analytics, machine learning, and real-time data processing while maintaining governance and security. By eliminating data silos and reducing ETL complexity, we enhance collaboration across teams and accelerate insights. With native support for Delta Lake, we benefit from ACID transactions, scalable metadata handling, and efficient data versioning—all within a unified, cost-effective framework.
Data Engineering & ETL Pipelines
Building scalable ETL and ELT workflows using Apache Spark on Databricks empowers us to efficiently ingest, transform, and manage large volumes of data from diverse sources.
We design robust pipelines that handle batch and streaming data, ensuring high performance, fault tolerance, and data quality. Leveraging Spark’s distributed processing capabilities, we optimize transformations and orchestrate complex workflows with ease. Databricks’ collaborative environment allows us to integrate seamlessly with Delta Lake for ACID compliance and data versioning. This enables real-time analytics, supports machine learning initiatives, and ensures our data infrastructure is both agile and future-ready.
Machine Learning & AI Development
Creating and deploying machine learning models using Databricks empowers us to accelerate AI development with powerful tools like MLflow, AutoML, and seamless integration with popular frameworks such as TensorFlow and PyTorch. We streamline the entire ML lifecycle, from data preparation and model training to experiment tracking, versioning, and deployment within a collaborative and scalable environment. MLflow enables us to manage reproducibility and governance, while AutoML helps us rapidly prototype high-performing models.
By leveraging Databricks’ unified platform, we ensure our models are production-ready, scalable, and aligned with business goals, driving impactful insights and intelligent automation across the organisation.
Real-Time Data Processing
Implementing real-time data processing on Databricks using Structured Streaming and Delta Live Tables enables us to build powerful, low-latency analytics pipelines. We ingest and process continuous data streams from various sources, ensuring timely insights and responsive decision-making.
Structured Streaming provides a scalable, fault-tolerant framework for handling both batch and streaming data, while Delta Live Tables simplify pipeline development with declarative syntax, automated data quality checks, and lineage tracking. This combination allows us to monitor data freshness, detect anomalies instantly, and power real-time dashboards and alerts, ensuring our organization stays agile and informed in a fast-paced data landscape.
Data Governance & Quality
Establishing robust data governance and quality on Databricks involves leveraging Unity Catalog and Delta Lake features to ensure data lineage, validation, and compliance.
We use Unity Catalog to centrally manage data access, enforce fine-grained permissions, and maintain audit trails across all assets. Delta Lake enhances data reliability with ACID transactions, schema enforcement, and time travel, allowing us to validate data integrity and trace changes over time. Together, these tools enable us to meet regulatory requirements, maintain high data quality standards, and foster trust in analytics and AI initiatives, ensuring our data ecosystem is secure, transparent, and well-governed.
DevOps & MLOps Enablement
Enabling DevOps and MLOps on Databricks allows us to automate the entire machine learning lifecycle, from development to deployment.
We use MLflow to track experiments, manage model versions, and streamline deployment workflows. By integrating CI/CD pipelines, we ensure consistent, repeatable processes for testing and releasing code and models. Infrastructure provisioning is automated using Terraform, enabling us to manage Databricks workspaces, clusters, and resources as code. This approach enhances collaboration between data science and engineering teams, reduces manual errors, and accelerates time to production ensuring our ML solutions are scalable, reliable, and aligned with enterprise DevOps best practices.
Technologies That Power UsEngines Behind Our Intelligent Solutions
We are powered by a dynamic ecosystem of data and AI technologies that enable precision, agility and innovation. From scalable cloud platforms and modern data lakes to advanced machine learning, generative models and agentic systems, our technical foundation is built for resilience and progress.
These technologies are the engines behind our intelligent solutions, transforming insight into action and strategy into measurable impact.
OUR SERVICES
Data & AI Strategy
Agentic AI
Generative AI
Analytics
Data Management
Data Governance
Data & AI Architecture
Visualisation & Reporting
Cloud Services
TECHNOLOGIES
Palantir
Snowflake
Confluent Kafka
Open AI
Data Build Tool (DBT)
AWS
Azure
Ray.io
Kubernetes
LangChain
Power BI
Tableau
Matillion
Qlik
Airflow
Google Cloud
Databricks
Hashicorp
CONTACT & LEGAL
Contact Us
Veterans Support
Branding Guidelines
Privacy Policy
Cookie Policy
Modern Slavery
Carbon Reduction Plan
Armed Forces Covenant