Connect data. Empower domains. Accelerate outcomes!
Coforge’s Greenfield data programs & Advanced Analytics solutions unifies governance, intelligence, interoperability, with domain driven Data Mesh to unlock value to at scale.
What We Offer
Data Mesh Buildout and Deployment
Build and deploy a DataMesh that is opinionated but standardized for specific HyperScaler’s Cloud data products. Under this offering, we provide three specific DataMesh architectures for Azure, AWS, and GCP.
Dynamic Data Ingestion Pipelines
Build zero-code / zero ETL, dynamic data ingestion pipelines based on configurations and agentic-AI. The aim is to reduce ETL code and take care of most of data ingestion needs by deploying platform based dynamic data pipelines.
Greenfield Data Lake / Cloud Warehouse development
We build greenfield cloud data warehouses and data lakes on Snowflake, Databricks, AWS Redshift, GCP BigQuery etc., enabling faster time-to-market for custom business applications. Our Cosmos Data Toolkit accelerators streamline these implementations for efficiency and speed.
Development of Advanced Analytics
Develop advanced analytics reports and dashboards for client’s needs. Also offer user sand-boxes to enable self-service and data wrangling for the power users.
AI/ML model development, training and deployment
Design, develop, train, validate and deploy new AI/ML models on cloud platforms such as AWS SageMaker, AzureML, GCP Vertex or Dataiku, Datakitchen, H2O, etc..,
Data Mesh Buildout and Deployment
Build and deploy a DataMesh that is opinionated but standardized for specific HyperScaler’s Cloud data products. Under this offering, we provide three specific DataMesh architectures for Azure, AWS, and GCP.
Dynamic Data Ingestion Pipelines
Build zero-code / zero ETL, dynamic data ingestion pipelines based on configurations and agentic-AI. The aim is to reduce ETL code and take care of most of data ingestion needs by deploying platform based dynamic data pipelines.
Greenfield Data Lake / Cloud Warehouse development
We build greenfield cloud data warehouses and data lakes on Snowflake, Databricks, AWS Redshift, GCP BigQuery etc., enabling faster time-to-market for custom business applications. Our Cosmos Data Toolkit accelerators streamline these implementations for efficiency and speed.
Development of Advanced Analytics
Develop advanced analytics reports and dashboards for client’s needs. Also offer user sand-boxes to enable self-service and data wrangling for the power users.
AI/ML model development, training and deployment
Design, develop, train, validate and deploy new AI/ML models on cloud platforms such as AWS SageMaker, AzureML, GCP Vertex or Dataiku, Datakitchen, H2O, etc..,
Featured Case Study
