Databricks Partner
Certification and expertise in data engineering and AI on one of the leading platforms on the market.
Processing beyond what traditional solutions deliver
Scaling from gigabyte to petabyte on the same architecture
Data, analytics and AI unified in the lakehouse
Databricks platform figures, based on public data from Databricks.
What Databricks is
The best of the data warehouse and of the data lake in a unified lakehouse architecture.
Built on Apache Spark, Databricks offers a collaborative environment where data engineering, data science and analytics work together on the same platform.
As a certified partner, we handle the implementation end to end: architecture, governance, pipelines and the training of the client team to operate it once we hand it over.
Read the case study: analytics platform with Azure Databricks
Platform capabilities
What Databricks delivers, and where we come in on each front.
Data Engineering
- Delta Lake for data quality and ACID transactions
- ETL/ELT with optimised Apache Spark
- Scalable and reliable pipelines
- Batch and real-time streaming ingestion
- Auto Loader for incremental ingestion
Machine Learning & AI
- MLflow for model management
- Feature Store for feature reuse
- AutoML for fast development
- Model Serving for production deployment
- Integration with PyTorch and TensorFlow
Analytics & BI
- SQL Analytics for interactive queries
- Real-time dashboards and visualisations
- Integration with BI tools
- Collaborative notebooks
- Governance and access control
Governance & Security
- Unity Catalog for unified governance
- Granular access control
- Auditing and compliance
- Data lineage and discovery
- End to end encryption
Our services with Databricks
From setting up the first workspace to the cost optimisation of an environment already running in production.
Implementation
Workspace setup, Unity Catalog, integration with cloud providers and architecture best practices.
Migration
Data warehouses, legacy ETL and Spark workloads, with assessment and planning before anything moves.
Development
Data pipelines, machine learning models, dashboards and orchestration.
Optimisation
Performance tuning, cost optimisation and architecture review on a continuous cycle.
Training
Team enablement, hands-on workshops, technical mentoring and customised documentation.
Support
Troubleshooting, evolutionary maintenance, monitoring and a guaranteed SLA.
Databricks certification
Our team includes professionals certified by Databricks. We take part in training and events regularly to keep up with what is new and with the good practices of the platform.
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