Showcases Databricks
Discover how NTT DATA teams are applying technology, accelerators and expertise to solve real business challenges
Databricks: Genie Go
Traditional data engineering is slow, manual and repetitive.
By leveraging augmented engineering with AI, create data pipelines through AI using natural language and speed up development and delivery by 30–70%.
Key points
The solution uses Genie code in Databricks to:
- Scaffold medallion pipelines automatically
- Auto-generates data quality rules and validation checks
- Enables rapid dashboard creation and instant publishing
- Integrates with bespoke frameworks to deliver scalable, production-grade architectures faster
The value delivered:
- Increased speed – 30% faster to build business transformation logic
- Improved data quality – 55% more efficient to define and enforce data quality rules
- Time to value – 3x faster from raw data to analytics ready dashboards
Databricks: Fast Track Data Onboarding
Data onboarding into Databricks is a slow and manual process.
Our solution is a scalable, cloud-agnostic, metadata-driven ingestion framework that accelerates data ingestion into Databricks by 30%
Key points
The solution:
- Automates and standardizes data onboarding from Azure Landing Zones into Databricks
- Handles diverse data types and ingestion patterns
- Built-in data quality validation to accelerate time to value and improved reliability
The value delivered:
- Improved efficiency – from a standardized and reusable production ready framework
- Improved data trust - from integrated automated quality checks and validation
- Faster access to analytics ready data – from reduced ingestion setup effort, accelerates ingestion by 30%