Fabric LOOM

Accelerate your Fabric Implementation with our Proprietary Accelerator

What is Fabric LOOM?

Spyglass Fabric LOOM is a metadata‑driven, pre‑built accelerator that automates the entire data lifecycle—ingestion, cleansing, transformation, enrichment, and delivery—using Microsoft Fabric’s scalable Medallion architecture. LOOM weaves best practices, governance, quality checks, and orchestration into a unified framework, dramatically reducing the time, complexity, and cost of building production‑ready data pipelines while ensuring reliability, security, and AI‑readiness from day one.

Key Features of LOOM:

Dynamic Metadata Framework

Automates pipeline behavior using metadata‑driven rules that adapt instantly to new sources and schema changes

Modular Cleansing Rules

Applies configurable, reusable cleansing logic at every layer to ensure consistent data quality from ingestion to delivery

Medallion Architecture Alignment

Implements a standardized Bronze → Silver → Gold structure that drives performance, clarity, and scalability across your data estate

Secure Workspace Management

Enforces Fabric workspace security, permissions, and governance patterns to ensure compliant, controlled data operations

Data Quality Profiling & Auditing

Delivers automated profiling, lineage tracking, validation, and alerting to maintain trusted and observable pipelines

Data Product Templates

Provides ready‑made patterns and templates for rapidly assembling analytics, dashboards, and AI‑ready data products

Benefits

By leveraging our Fabric LOOM accelerator, you get the following benefits:

Speed

Accelerates pipeline and data product delivery with automated, reusable patterns

Quality

Ensures trusted data through built‑in validation, profiling, and auditing

Security

Protects your environment with governed workspaces and consistent controls

Scalability

Adapts effortlessly to new sources, workloads, and enterprise AI needs

Ready for Fabric LOOM?

Start weaving your data and automat best practices for data processing within the Medallion architecture today.

Additional Resources

RAG vs. Prompt Stuffing: Overcoming Context Window Limits for Large, Information-Dense Documents

Modern AI systems, particularly Large Language Models (LLMs), excel at understanding and generating text. However, they...

Introducing SQL Database in Microsoft Fabric

Microsoft Fabric has traditionally concentrated on analytical databases, data transformation, and data visualization....

How to Start Your Data Governance Journey With Microsoft Purview Data Map and Data Catalog

Data governance is an essential aspect of any organization that deals with data. It is the process of managing,...

Ready to implement Microsoft Fabric?

Unlock faster delivery, cleaner pipelines, and an AI‑ready foundation with Fabric LOOM.

Let's Build Your Future-Ready Platform

Our team can help you launch or modernize your data platform with Fabric LOOM—quickly, securely, and at scale.