Case Study: Motorola achieves scalable data warehousing and analytics with Google Cloud Platform

How Motorola transformed its data warehousing and analytics with Google Cloud Platform

Motorola needed a more scalable way to handle growing device data and analytics workloads after running into limits with its in-house Hadoop and MapReduce clusters. By using Google Cloud Platform products like Google BigQuery, Google Cloud Storage, and Google App Engine, Motorola wanted to improve performance, reduce operational bottlenecks, and give more employees access to data insights.

Google Cloud Platform helped Motorola move analytics to a highly scalable environment, eliminating the need to manually rescale clusters during demand spikes. The result was over 40% of Motorola employees running more than 90,000 queries per day across over four petabytes of data, enabling faster troubleshooting, broader data use across teams, and more efficient analytics operations.

Motorola