Technology
Technology Ecosystem
A vendor-neutral stack: we select tools for the problem and the environment.
Reference architecture layers
A typical stack, which we adapt to your environment and existing investments.
01
Sources and ingestion
- Databases
- APIs
- Event streams
- Files and documents
02
Storage and processing
- Cloud object storage
- Lakehouse tables
- Distributed processing
- Warehouses
03
Transformation and orchestration
- SQL
- Python
- Workflow orchestration
- Testing frameworks
04
Modelling and AI
- Statistical libraries
- Deep-learning frameworks
- Language models
- Vector search
05
Serving and applications
- REST and streaming APIs
- Web applications
- BI tools
- Notebooks
06
Governance and operations
- Catalogues and lineage
- Access control
- Monitoring
- Cost management
Technologies commonly used in this field
- Python
- R
- SQL
- Apache Spark
- Apache Kafka
- Apache Airflow
- dbt
- PyTorch
- scikit-learn
- TensorFlow
- MLflow
- Kubernetes
- Docker
- PostgreSQL
- TypeScript
- React
- Next.js
- Terraform
Product and technology names belong to their respective owners. Listing a technology indicates tools commonly used in this field and does not imply a partnership, certification or endorsement.
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