Our team closely collaborated with the client’s IT team throughout the implementation to ensure that the platform is configured correctly and supports the integration of data and processes from existing tools into the unified platform.
Following the conceptualization, Nagarro successfully developed and deployed a cloud-agnostic big data SaaS platform. As a centralized platform, it served multiple use cases and offered infrastructure for various solutions like recovery audits, contract compliance, and advanced analytics.
A cloud-agnostic approach ensured that the platform could be deployed on any cloud giving customers the flexibility to choose their preferred cloud provider.
The platform's data ingestion and transformation capabilities allowed the client to process large data volumes with a configuration-driven approach.
It enabled quick and efficient data ingestion and cleansing, speeding up the analysis process.
The platform offered pre-built connectors to different data sources such as PostgreSQL, Snowflake, and Oracle, facilitating easy access to diverse data sources and types and ensuring smooth data integration.
It adhered to the DRY (Don't Repeat Yourself) principle to promote code reusability and maintainability. Implementing the version code allowed us to track changes in the codebase, facilitating collaboration among developers and ensuring a reliable and auditable development process.
A "design before coding" approach prioritized planning and design to avoid potential issues during development.