Service
Data Modernization
Industry
Hi-Tech
Technology
Databricks, Hadoop, Hive, Spark, Scala, IntelliJ Idea Community Edition, Unravel, Hive Shell, Spark2-shell, CDH, GitHub, Azure Cloud
Data Modernization
Hi-Tech
Databricks, Hadoop, Hive, Spark, Scala, IntelliJ Idea Community Edition, Unravel, Hive Shell, Spark2-shell, CDH, GitHub, Azure Cloud
The customer is an American multinational computer software and creative giant incorporated in Delaware and headquartered in San Jose, California.
For a global leader in digital experiences, the challenge wasn’t just about moving data. It was about creating a foundation for speed, scale, and governance — one that could power analytics and AI across the business.
WinWire partnered with the company to migrate more than 200PB of data from Hadoop to Databricks, one of its most significant modernization programs. This multi-year effort not only shut down the Portland data center in April 2023 but also set the foundation for AI and analytics at scale, marking the start of a new era of cloud-first services.
Legacy Hadoop architecture slows innovation
As the business shifted to a subscription SaaS model, data demand exploded — but Hadoop couldn’t keep pace.
The organization faced:
WinWire partnered with the company to deliver a Migration-as-a-Service (MaaS) model — moving 200PB of workloads in structured, phased waves and cutting the expected timeline in half.
Approach:
Technology Foundation
Beyond the migration, WinWire built a Data Platform as a Service (DPaaS) — powered by its WinCCO cost-optimization framework.
The platform gave the company stronger financial controls, built-in predictive analytics, and role-based dashboards — all designed to manage more than 40 tenants across a 30,000-employee enterprise.
The program went well beyond infrastructure modernization. With DPaaS live, the company now runs on a platform designed for scale and transparency.
