Overview
Our Data Mid-Platform is a cloud-native, full-stack solution that unifies ingestion, development, governance, and consumption of enterprise data. Built on a lake-house architecture, it turns fragmented silos into governed, AI-ready assets while keeping costs elastic and security airtight.

Key Capabilities

• Unified Ingestion & Integration
  200+ pre-built connectors stream batch and real-time data from SaaS, on-prem, and IoT sources into a governed lake-house.

• Low-Code Development Studio
  Drag-and-drop ETL, SQL & Python notebooks, and version-controlled pipelines accelerate delivery from days to minutes.

• Active Metadata & Lineage
  Auto-crawled schemas, impact analysis, and column-level lineage give every dataset full traceability and trust scores.

• Embedded Data Governance
  Policy-driven quality rules, PII classification, dynamic masking, and compliance dashboards enforce GDPR, HIPAA, and SOC 2 without manual overhead.

• Serverless Compute & Storage
  Auto-scaling clusters and tiered storage cut compute costs up to 60 % while delivering sub-second query performance.

• Real-Time Analytics & API Gateway
  Stream processing, feature stores, and REST/SQL endpoints power BI, ML, and operational apps with millisecond latency.

• Cross-Cloud & Hybrid Deployment
  Kubernetes-native architecture deploys identically on AWS, Azure, GCP, or private clouds—zero lock-in.

• Enterprise Security & Collaboration
  RBAC, end-to-end encryption, audit trails, and collaborative workspaces let data engineers, analysts, and stewards co-create safely.

Business Value

• 5× faster data onboarding

• 70 % reduction in data ops effort

• 99.9 % platform uptime SLA

• Proven at petabyte scale across retail, finance, and manufacturing.

Deploy once, govern everywhere, innovate continuously.