Case Study: Lenovo analyzes petabytes of smartphone data across multiple locations with Alluxio

Lenovo speeds smartphone data processing 4x with Alluxio

Lenovo, a major global vendor of personal computers and smartphones, faced the challenge of analyzing petabytes of smartphone data stored across its ten worldwide data centers. Their existing process was complex and inefficient, making it difficult to gain insights into product usability and reliability. To solve this, they implemented Alluxio's data platform to eliminate the need for ETL processes.

The solution from Alluxio provided a distributed data caching layer that integrated with Lenovo's existing Spark SQL, Hive, and HDFS infrastructure without requiring any application changes. This allowed data to be stored locally in memory from remote HDFS locations, providing transparent and secure access for analytics. As a result, Lenovo achieved a 4x faster model processing time and a 95% reduction in the cost of cloud compute.

Lenovo