A Journey Towards High-Performance Data Architecture and Standardizing Deployment Practices
The Requirement:
To improve and enrich data quality, we revamped the existing data architecture of our client's flagship product and developed a modern dataops pipeline, across the legacy ETL ecosystem, which is used across diverse client engagements and deployment scenarios.
The Solution:
- Adoption of databricks as the main platform for managing big data needs.
- a centralized framework with configurable data factory, data bricks and data lake.
- easy onboarding of clients, where data experts can review the solution, and if necessary add/modify features and test it automatically.
How we did it
We built a multi-site, multi-geography centralized platform in Acquia environment with Drupal CMS as base. This Integrated Digital Platform is built on a single code-based architecture, driven by a reusable component library. With this, migration at scale became a reality, as it offered uniform structure for all the sites with its layout builder, common editorial controls and 80+ reusable components.
Outcome
By centralizing the framework for data lake development, this solution allows for better control over new feature development and ensures minimal impact on the existing deployment. Learn More