Hong Kong based disaster recovery technology provider BIZCONLINE has signed an agreement with the Guizhou Gui'an New Area Management Committee to build China's first disaster-resilient big data city.
The joint agreement will see both parties build a big data eco-platform using disaster recovery as a means to generate a public big data pool for modelling purposes.
Under the agreement, the Gui'an New District Disaster Relief Big Data Inhouse Training Base will also be established to train talent in the region in disaster recovery, crisis migration, safety management, big data, cloud computing and deep learning skills.
The collaboration also covers basic research on big data, the establishment of a data exchange platform, a supercomputing center and other peripheral big data resources.
BIZCONLINE plans to use open source technologies including Cloud Foundry and LF Deep Learning to jointly build a standard big data city optimized for disaster recovery as a demonstration project.
“By using the advantages of the Guiyang New Area National Big Data Comprehensive Experimental Area, the Big Data Industry Cluster Area, and the South China Data Center Demonstration Base, we will combine with Hong Kong cloud disaster recovery provider and other big data companies,” Gui'an New Area Management Committee Jin Heping said.
“With the advantages of technology and internationalization, we will work together to create a big data ocean and jointly develop Guizhou's big data industry to achieve open and win-win situations."
BIZCONLINE CEO Alex Li added that Guizhou is a demonstration base for the national big data industry.
“Engaged in disaster recovery technology research for more than 20 years, it is the most economical way to initiate big data research by using disaster recovery techniques,” he said.
“As long as the disaster recovery awareness is sufficient, users can enjoy the most reliable technology but only 20% of the cost for their disaster recovery solution. The government can define policy and guide the flow of data to the big data ocean.”