Private Colleges and Universities Open Cloud Architecture of Oracle Big Data Laboratory Program

4. Big data laboratory planning and deployment recommendations 

4.1. Planning 

Private colleges & universities and the Oracle joint big data laboratory project will temporarily carry on the 

planning in three stages, and it constructs step by step: 

Phase 1 ˖ Preparation of big data joint laboratory: Complete financial planning, computer room planning, 

construction and infrastructure investment. Complete the course objectives and the research and discussion of the 

way of cooperation. Complete the construction of big data laboratory infrastructure, basic architecture management 

software platform for supporting big data technology experiment environment, the deployment of some general big 

data development and application tools, supporting fast, on-demand allocation for scientific research and teaching 

environment infrastructure. Through the introduction of external experts and professors resources, try to develop the 

teaching program of big data technology and external vocational education certification program, supporting the 

construction of the current teaching experiment environment. 

Phase 2: Big data joint laboratory operating environment construction: Improve and complete the big data joint 

laboratory's own management software platform and operation function, improve the ability of cloud IDC, In order 

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to achieve internal and external service on the basis of the need to allocate teaching, scientific research and 

experimental infrastructure environment, according to the use of measurement and other external operational 

capacity. Continuously improve the large data technology and scientific teaching system from the aspects of 

teaching and research and introduce the sound teaching resources. 

Phase 3: Big data joint laboratory research platform project development: Through the introduction of the perfect 

big data business analysis and decision-making system of Oracle, through the data collection of the cloud platform, 

it carries on the data acquisition and the analysis to the learning activity of the school students and further improves 

the teaching quality through date digging, deepens the reform of higher education to achieve the visual target and 

data base and enhance the ability of education data service in colleges and universities[8]. 

4.2. Deployment and construction methods suggestions 

In view of the actual situation in colleges and universities, it is suggested using the existing X86 hardware server, 

through the mature integrated solution, to achieve unified deployment of cloud platform system. On the one hand, it 

reduces the initial investment cost and makes use of the advantages of the horizontal extension of the cloud 

computing platform. It reserves enough space for future performance capacity expansion needs. At the same time, 

through the optimization of the manufacturers to optimize the overall structure of the solution. It effectively uses the 

Oracle mature business solutions and industry experience. It continues to inject new technologies and projects into 

the school platform. It also lays a solid foundation for the future blueprint planning.