Our Services

We provide a comprehensive suite of services across modern data platforms, deployment models, and architecture frameworks.

DATA PLATFORM

Service	Description
Design Principles	Scalable, modular, and cloud-native architecture design.
Platform Overview	Unified platform for handling all data types efficiently.
Data Warehousing	High-performance and cost-effective analytical storage.
Data Governance	Policies, lineage, and access control for secure data use.
Data Engineering	Pipeline building and orchestration using modern tools.
Data Management	Centralized control of metadata and dataset lifecycle.
Data Ingestion	Batch and real-time data integration from multiple sources.
Business Intelligence	Dashboards, visualizations, and decision support tools.
Real-Time Analytics	Live insights from streaming data sources.
Artificial Intelligence	End-to-end AI integration for enterprise workflows.
Machine Learning	Model training, tuning, and deployment capabilities.
Data Science	Support for collaborative and reproducible data exploration.

DEPLOYMENT

Model	Description
On-Premises Deployment	Deployed on your own Kubernetes clusters, with full control.
Public Cloud Deployment	Deployed on AWS EKS, Azure AKS, or Google GKE with scalability.
Private Cloud Deployment	Support for OpenShift, VMware Tanzu, and custom clouds.
Hybrid Deployment	Multi-environment deployments with unified governance.

ARCHITECTURE

Component	Description
Open Source	Vendor-neutral architecture built on OSS technologies.
Apache Iceberg	High-performance table format for analytical workloads.
Apache Spark	Distributed processing engine for big data pipelines.
Data Mesh	Decentralized data ownership and domain-oriented architecture.
Data Security	Encryption, access policies, and compliance by design.
Integrations & Ecosystem	Out-of-the-box support for tools like dbt, Airflow, Looker, etc.