Building and deploying a Data Mesh platform

Challenges

  • The customer is a Fortune 500 company dealing with large scale production and distribution of beer products in US
  • Multiple groups within the organization needed data for making key decisions, to roll out promotions, and to forecast sales across regions
  • Needed a tech platform that allowed for agility while also ensuring that the enterprise constraints for security, and governance were adhered to
  • Wanted to use various data types: structured, unstructured, semi structured and use AI strategy decisions.

Solutions

  • Developed and deployed data mesh architecture
  • Created data domains for different business needs – sales, marketing, analytics, forecasting
  • Cloud migration with data-as-a-service approach with Snowflake as data platform.
  • Self-service centralized data engineering platform that provides analytical database as a platform; DataOps — data and workflow orchestration as code, data quality testing and profiling as code, data transformation as code, version control / CI / CD, monitoring, alerting and logging; and event streaming as a platform.

Outcomes

Scalability

Enabled users to meet consumption requirements

Unstructured data

Ability to extract, process, and store

Reduced cost

Key benefit of data mesh

Cloud ready

Enabled ability to scale and optimize

Contact us

You can also email us directly at info@persistent.com.

You can also email us directly at info@persistent.com