Fabric Data Estate Planning: 6-Week Implementation

Data mesh is an architectural pattern for scaling enterprise data estates in complex organizations. Data mesh helps streamline analytics adoption beyond a single platform and a single implementation team.

Spyglass’ Cloud-Scale Analytics offering looks to provide customers with fully curated domain organized OneLake instances leveraging Microsoft Fabric solutions (data lakehouse, data warehouse, etc..) to establish a Data Mesh foundation.

The Spyglass Fabric Data Estate Planning and implementation offering is a 6-Week/$45k monthly Implementation that provides customers with a curated, governed data estate for each identified business area after a data discovery process and appropriate modeling, data transformation and data blending work.

AGENDA:

Week 1 – 3: Discovery of your data artifacts

Cataloging of artifacts

Data source

Purpose

Sensitivity

Users supported by data source

Ways users utilize the data

Determine business areas

What does each do?

How is data consumed by them?

What data domains are the foundation of data mesh?

Week 3 – 6: Data model implementation

Implement various models of data for the various groups

Operational models

Dimensional models

Raw files/tables

Implement access security

Ensure only the right people can see the right data

Build any necessary transformation logic for the data

Final implementation of domain OneLake instances for each business unit

Our approach leverages an agile methodology to quickly develop and deploy all of your Fabric data needs.

DELIVERABLES: Spyglass will deliver a fully deployed Fabric data solution ready for consumption.

Final price is based on scope of work.