Cloudera partners with CyberZ on cloud migration

Cloudera, Inc. (NYSE: CLDR), the provider of the modern platform for machine learning and advanced analytics, has announced that its customer, CyberZ, a global advertising agency that specializes in smartphone marketing, has adopted Cloudera Enterprise Data Hub to effectively migrate all the data from its on-premise ´Force Operation X´ (F.O.X.) environment to the cloud, with an expected completion of five months, the company said.

Cloudera Enterprise empowers CyberZ´s F.O.X. team to build a robust and scalable open source platform that aims to more efficiently meet business requirements.

Launched in February 2011, F.O.X. allows organizations to measure the effectiveness of advertisements through consumer behaviour, application downloads, and Customer Lifetime Value (CLTV) metrics. The solution is certified by Facebook Marketing Partners, Twitter Official Partners, Google´s App Attribution Partner, and can also measure advertisements on media outlets across the globe.

Made available through Cloudera Enterprise, Cloudera Director provides CyberZ with the flexible management of multiple accounts across several data clusters, improving the quality of insights derived from the aggregation and analysis of new data.

Complemented with Cloudera Manager, a reliable job management solution, CyberZ can significantly reduce the time spent on hardware procurement and troubleshooting as well. To ensure Service Level Agreements (SLAs), the Cloudera team also provides CyberZ with implementation and operation service through Cloudera Support.

CyberZ was founded in Japan in 2009 as an advertising agency that specializes in smartphone marketing. Since then, it has been providing advertising and marketing services throughout the world, including the US, Korea, Taiwan and Singapore.

Cloudera delivers the modern platform for machine learning and advanced analytics built on the latest open source technologies. The world´s organizations trust Cloudera to help solve their most challenging business problems by efficiently capturing, storing, processing and analyzing vast amounts of data. Learn more at