Case Study
Scalable Data Mesh &
DataOps Solution
Enabling enhanced data analytics, data science, and governance through a robust DataOps framework
The Client
Global Manufacturing Organisation
Operating in a data-driven industry requiring sophisticated data management solutions. With a growing demand for analytics and governance, they sought expert guidance to establish a scalable and efficient DataOps framework within a Data Mesh architecture.
"We needed a partner who could help us implement DataOps that integrates seamlessly with Databricks, Oracle, and GitHub while upskilling our internal teams." Data Engineering Lead
Manufacturing
Global
Oracle, Databricks, GitHub
The Challenge
Scaling data operations across platforms
Data Mesh Scale
Need to implement a scalable Data Mesh environment across the organisation.
DataOps Integration
Establishing DataOps that integrates seamlessly with Databricks and GitHub.
Team Upskilling
Upskilling internal teams to understand DataOps methodologies and best practices.
Parallel Solution
Implementing a parallel DataOps solution using Oracle and GitHub.
Continuous Improvement
Ensuring continuous improvements in analytics, data science, and governance.
The Journey
Expert knowledge meets hands-on implementation
Understand & Design
- Listened deeply to understand analytics and governance requirements
- Assessed existing workflows with transparency and honesty
- Designed DataOps solution for Databricks with GitHub integration
- Built trust through clear technical recommendations
Implement & Upskill
- Set clear expectations for DataOps implementation milestones
- Upskilled key team members on technologies and data modeling
- Developed second DataOps solution for Oracle with GitHub
- Personalised training to match team capabilities
Support & Evolve
- Resolved integration challenges with ongoing DevOps support
- Provided continuous support to Data Modelling and Engineering teams
- Minimised effort through effective adoption practices
- Enabled continuous improvement of data-driven initiatives
The Transformation
From siloed data to connected mesh
Siloed data domains, manual workflows, disconnected systems, and limited collaboration.
Connected Data Mesh, automated DataOps, seamless CI/CD, and empowered teams.
Ready to Transform?
Let's build your Data Mesh
By designing and implementing DataOps solutions within a Data Mesh framework, Engaging Data has enabled the client to optimize their data management and analytics capabilities. With ongoing support and upskilling, the organisation is now positioned for continuous data-driven innovation and operational efficiency.