Case Study: dataxu achieves faster, more reliable big data querying with Qubole

DataXu Uses Qubole To Make Big Data Cloud Querying, Highly Available, And Efficient

dataxu, a company that provides cloud-based marketing applications, faced significant challenges managing its on-premise and Amazon EMR big data deployments. The process was time-consuming, requiring manual provisioning and upkeep of clusters, which led to run-time issues and poor availability. This was a major hurdle for their global business teams who needed to run live ad-hoc queries without waiting for lengthy cluster startups or engineering assistance. They turned to Qubole and its Qubole Data Service (QDS) to automate these processes.

By implementing Qubole's solution, dataxu automated its cluster management, auto-scaling, and ad-hoc queries. The Qubole Data Service provided higher availability with reliable, automated cluster configurations and starts. It also delivered highly optimized Hive processing, resulting in faster query performance. This eliminated the need for dedicated staff to manage Hadoop and saved the company from having to hire additional engineers. The 200-terabyte cluster now runs more efficiently, translating into faster and more actionable marketing intelligence for dataxu's customers.

dataxu

Yekesa Kosuru

Vice President, Technology, DataXu