AI-Ready Lakehouse Modernization

Modernize fragmented data estates into scalable, governed lakehouse platforms - 40–50% faster deployment with LakehouseIgnite™ pre-built ingestion patterns and governance-as-code.

About the solution

Building the AI-Ready Data Foundation Enterprises Need

Enterprises operate fragmented data environments across legacy warehouses, SaaS systems, and operational databases. Disconnected analytics environments, slow onboarding of new data sources, and governance introduced too late are the hallmarks of data estates that cannot support AI. LakehouseIgnite™ delivers automated lakehouse setup, pre-built ingestion pipelines, and governance-as-code, reducing deployment time from 12 weeks to 6 weeks and building the AI-ready data foundation your AI initiatives need to scale.

How we work

What it takes to build an AI-Ready Lakehouse That Works

Data Estate Assessment

Assess current data architecture across legacy warehouses, data lakes, SaaS platforms, and operational databases — identifying modernization gaps, migration waves, and AI readiness blockers.

Lakehouse Architecture Design

Design a modern Bronze-Silver-Gold lakehouse architecture with open table formats (Delta Lake, Iceberg, Hudi), cloud-native storage, and scalable compute across Databricks, Snowflake, Azure Fabric, or AWS.

LakehouseIgnite™ Deployment

Deploy LakehouseIgnite™ accelerator — pre-built landing zones, ingestion pipelines, governance-as-code modules, and CI/CD frameworks — reducing deployment from 12 weeks to 6 weeks.

Data Migration Factory

Deploy LakehouseIgnite™ accelerator — pre-built landing zones, ingestion pipelines, governance-as-code modules, and CI/CD frameworks — reducing deployment from 12 weeks to 6 weeks.

Case Studies