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 focused data products implemented in the appropriate technical solution (data lakehouse, data warehouse, etc..) and established a Data Mesh foundation. The Spyglass 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.

This offer extends customers use of Azure by working with their current data landscape to craft out a curated Azure data estate, one that will unify the customers disparate data sources into a unified Azure data mesh architecture.

AGENDA: • Week 1 – 3: Discovery of your data artifacts o Cataloging of artifacts  Data source  Purpose  Sensitivity  Users supported by data source  Ways users utilize the data o 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 o Implement various models of data for the various groups  Operational models  Dimensional models  Raw files/tables o Implement access security  Ensure only the right people can see the right data o Build any necessary transformation logic for the data o Final implementation of specific delivery solutions for each business unit Our approach leverages an agile methodology to quickly develop and deploy all of your data needs. DELIVERABLES: Spyglass will deliver a fully deployed data solution ready for consumption. Final price is based on scope of work.