Fabric Platform Setup

How We Build a Scalable Data Fabric Platform

Our Solution in Action

our process covers every essential step to build and scale a Data Fabric Platform. Each stage is purpose-built to ensure your data landscape is cohesive, secure, and aligned with your organization’s vision.

Defining the Business Question

We start by pinpointing the specific business problems to address, aligning the Data Fabric architecture with strategic objectives. This ensures that the platform meets your organization’s immediate needs while remaining adaptable for future requirements.

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Identifying and Mapping Metadata Sources

Metadata is foundational to a Data Fabric, enabling data discovery, lineage, and governance. Our approach involves identifying and cataloging critical metadata sources, creating a detailed metadata layer that drives accurate, scalable data connections.

Developing the Data Model

A minimum viable data model (MVP) is constructed as the structural core of your Data Fabric. This model maps data relationships and defines schema standards, ensuring interoperability and consistency across data sources.

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Data Alignment and Mapping

To create a unified data landscape, we align disparate datasets to the data model. This involves data mapping, transformation, and quality checks to ensure accuracy and consistency, forming a reliable single source of truth.

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Configuring Consumer Applications

We set up applications and APIs that interact with the Data Fabric, enabling real-time data access and analysis. Our team ensures each application is configured for optimal performance, providing end-users with seamless, secure access to integrated data.

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Incremental Expansion for New Data Sources

Our modular design allows for ongoing expansion. New data sources can be incorporated into the fabric as your data landscape evolves, maintaining a flexible infrastructure that scales with your organization’s needs.

What's Included?

Comprehensive Platform Design

We work closely with you to design a platform architecture tailored to your goals.

Seamless Data Integration

We establish secure connections between your various data sources, whether on-premises or in the cloud.

Essential Tools & Services Integration

We integrate key analytics, visualization, and governance tools to enable end-to-end data solutions.

Full Documentation & Support

We provide clear documentation and ongoing support to ensure your platform functions seamlessly.