The bigger the data, the bigger the opportunity
Billions of events are generated every day, but unstructured records only create cost if they aren't processed. At BIART we design big data platforms that convert structured and unstructured sources into valuable insight through streaming and batch architectures.
Why BIART?
- High-volume processing — architectures that scale to billions of events per hour.
- Real-time analytics — instant decisions for fraud, operations and customer experience.
- Machine learning and AI — feature engineering, model training and MLOps.
- Cost optimization — hot/warm/cold tiering for optimal storage.
Architectural capabilities
- Apache Spark, Kafka, Flink for streaming and batch processing.
- Lakehouse (Delta Lake, Iceberg, Hudi) as a unified platform.
- Fraud and anomaly detection models.
- Real-time customer 360 profiling.
- Cloud or on-premise deployments (AWS, Azure, GCP, Kubernetes).
How we work
- Use-case prioritization
- Source mapping and pipeline design
- Go-live with a pilot use case
- Operational monitoring and cost optimization
- Scale to new scenarios
Turn big data from a cost into an opportunity — talk to the BIART Big Data team.