IBM builds large data talent system

Source: Internet
Author: User
Keywords Talent big data through own

How to deal with the potential long-term shortage of large data talents in the market? In Li Hong Li Hong, general manager of IBM China Middleware Group, many ISVs already have people who have some of the skills they need to master large data, and train them to have large data thinking and empower them with the necessary training to master data skills and tools. Vendors can help their partners become big data specialists.

And that is why Li Hong suggested that in building large data talent team, the program can take the external introduction way to acquire some technical field of expertise, such as Hadoop technical experts, and really able to control the overall talent, the program with the outside of the way to dig people fast into large data areas, It is better to carry out the internal tapping tools and cultivate the large data talents system which belongs to the enterprise's own http://www.aliyun.com/zixun/aggregation/14294.html >.

However, because of the need for comprehensive skills, including expertise, it knowledge, and user knowledge, the "comprehensive" talent needed to build large data will be a huge challenge for IT solutions. Li Hong that the programme can use the construction of "talent cloud" in the way, in the large numbers of people need to distinguish between.

Enterprises need to find their own business to master what skills belong to the key talent, take the enterprise internal cultivation of key individual talent, coupled with the idea of public cloud, from outside the enterprise to seek supplementary talent. Even in the enterprise through cooperative relations, to cross Enterprises, cross-industry way to solve problems, the long-term lack of "versatile" enterprise large data talent problem.

Li Hong the "talent cloud" relationship with an example of an ISV working in partnership with IBM. The enterprise has transformed from a separate asset management business into a smarter city industry in the big data age. As the intelligent city construction process, the comprehensive large data analysis and processing platform has very high requirements, the partner will be through IBM to obtain large data-related expertise, but also through IBM's partner system, to find in the data analysis and processing with rich experience of ISVs to develop together. As collaboration with large data ISVs deepens, and knowledge gained through IBM training continues to grow, the ISV's own ability to grow in large data areas has become a large data solution provider capable of operating independently and offering customers products and services.

In her view, the talent for modeling skills is central to any program and service provider who wants to get involved in large data. The ability to master data modeling talent with the industry's deep understanding and understanding, as well as sociological and psychological expertise, it will play an essential role in the implementation of a large data solution to the "last mile" of the customer, and this is the greatest value that it solutions can play in the future Big data biosphere.

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