Accelerate Outcomes with Microsoft Fabric in Just Weeks –

SEAMLESS, SMART, SIMPLE

Overview

Tiger Weave: Your Fast Lane to Microsoft Fabric Success

Tiger Weave is a metadata-first accelerator that helps you fast-track Microsoft Fabric adoption. Whether you’re modernizing legacy systems or scaling AI use cases, Tiger Weave delivers faster ingestion, stronger governance, and real-time analytics readiness with minimal overhead. It helps enterprises quickly implement modern Medallion Data Lakehouses using scalable, reusable components.

Tired of Slow Pipelines and Siloed Data?

Many data teams struggle to deliver fast, governed insights across sprawling, disconnected architectures. Microsoft Fabric is the future-but getting there is no small feat. That’s where Tiger Weave comes in. It’s not just a framework. It’s your pre-wired, plug-and-play accelerator built exclusively for Fabric-so you can stop firefighting and start delivering.

See How a Global Shipping Leader Cut Reporting Time by

One of ASEAN’s largest shipping companies was drowning in legacy systems. In just a few weeks, Tiger Weave helped them:

Stand up a Medallion Lakehouse on Microsoft Fabric
Automate ingestion from 40+ data sources
Cut time-to-insight in half

What Makes
Tiger Weave Different?

Purpose-Built for Microsoft Fabric

Built natively across Fabric’s components: Data Factory, Lakehouse, Warehouse, Dataflow Gen2, and more.

Ready-to-Deploy Data Engineering Modules

Ingestion, transformation, data quality, auditing, and alerting—all plug-and-play.

Metadata-Driven Design

Reusable SQL-based metadata tables eliminate repetitive logic, reducing engineering cycles.

Compliance-Ready Architecture

With built-in audit logs, RBAC, and lineage tracking, governance is never an afterthought.

Minimal Maintenance, Maximum Scale

Fabric-managed services mean reduced support load and easier scaling.

Tiger Weave on MS Fabric
Accelerators to drive efficiency and value

MS Fabric Ingestion Framework

Ingestion F/w covering metadata driven orchestration, ingestion pipelines built exclusively with Fabric Features using medallion lakehouse architecture.

Data Migration Framework

Data migration F/w to do initial bulk, one time data sync between source databases and Fabric data lake. Gen AI LLM based code conversion utilities (legacy ETL code to Spark SQL)