Sheichaoyang: Big Data and cloud computing, operators ' opportunities and challenges

Sheichaoyang: Large data and cloud computing, operator opportunities and challenges "in Cloud Network Map"

The 2013 China Data Center Industry Development Conference was held in Beijing on April 24. China Telecom Cloud computing company Http://www.aliyun.com/zixun/aggregation/5913.html "> Chief Scientist Sheichaoyang to do" Big data and cloud computing, operators opportunities and challenges, "the keynote speech. "Cloud computing, Big Data and SDX are hot topics on the market today," he says. Big data and cloud computing promote each other, cloud computing changes it, big data changes business.

Sheichaoyang that the cloud and large data need to do: infrastructure (traditional IT architecture to migrate to the new architecture system), message exchange (traditional Ethernet processing large data limitations), data analysis (large data analysis algorithm), file system (to the Distributed File system conversion).

Sheichaoyang analyzes the advantages and disadvantages of operators to enlarge data. He believes that operators have an advantage in infrastructure and intelligent plumbing, and are at a disadvantage in integrated platforms, businesses and applications. Operators to strengthen customer insights and intelligent pipeline control strategy, in traffic management, network optimization and external data service providers focus on large data applications.

Sheichaoyang said China Telecom will develop large data strategy from resources, means, ideas and benefits four, and consider data strategy and large data application. 1. Construct data sharing service system. Integrate internal data to provide data support and decision suggestions for enterprise development. 2. Forensic analysis leads business development. Develop data value and optimize business resource utilization. 3. Application is king. Promote the relevant technology and application, enhance customer insight, support flow management, intelligent pipeline.

Sheichaoyang thinks how to remove the bad data from the large data from each channel, and then deal with the ability to purify the large data according to the customer's business needs, the operator is weaker and needs to develop with the third party.

(Responsible editor: The good of the Legacy)