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

3. Big data laboratory setup planning 

Big data cloud laboratory will focus on teaching and scientific research task demands of big data technology in 

private colleges and universities, special design for students teaching, scientific research, and teacher training of big 

data technology education and training integrated management solutions for the computer major in private colleges 

and universities. The program provides teaching and scientific research purposes of big data course system 

construction and discipline planning, the horizontal project construction of the school enterprise cooperation, big 

data technology experimental management software platform, big data teaching and experimental resource bundle, 

big data technical curriculum teacher training program, and big data experiment instruction and teaching material 

development. 

3.1. Big data curriculum system construction and discipline planning 

It is formulated based on the construction experience of large data course in colleges and universities at home and 

abroad and existing big data technology employment market demand. Let the students have the ability to study big 

data science and engineering problems and solve practical problems in big data applications; systematically grasp 

the information technology, data analysis, cloud computing technology, information processing and other basic 

theory, knowledge and skills, and they can engage in the real work of big data analysis according to the learned 

training knowledge and methods &technology, and have the innovative ability and practical ability[3]. 

HDFS

Oracle NoSQL

Enterprise Application 

Program

Hodoop

Oracle Big Data 

Connectors

Database

Analysis of the 

Application Program

Obtain 

Organization 

Analysis 

Decision making 

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 Qian Zhang  /  Procedia Engineering   174  ( 2017 )  1190 – 1195 

3.1.1. Training target: Big data technology curriculum is designed to cultivate the ability to master and use 

computer technology, big data storage management technology, big data mining technology and high quality 

compound management talents who have the theory and the practice ability to solve the problem of practical 

application of big data. 

3.1.2. Training requirements: The knowledge and abilities which the big data technology major students should 

have are as follows: 

Systematically master the basic theory and technology of computer data structure, operating system, principle 

and technology of database, technology of distributed system and data analysis. 

Skillfully use learned technical knowledge of big data, information processing and other methods for information 

system design, development & implementation and deploying applications. 

Be able to take on the industry software company's big data application system development and the government, 

enterprise information data infrastructure consulting planning and big data analysis.

 

3.1.3. Core course: First of all, the big data technology is based on open cloud architecture features. To introduce 

students to the laboratory basic platform architecture and related technical knowledge, and the basic course structure 

is shown in Fig 2[4]. 

Fig 2.  Basic course structure 

3.1.4. Curriculum features: Each course provides teaching notes, experimental resource bundle, experimental data 

set, experimental management software, experimental sample code, experimental guidance, etc. Let students apply 

what has learned and promote learning, not only to learn the basic theory and principle of big data technology, but 

also to learn the technical realization of big data platform architecture and its typical application in the industry such 

as data analysis of E-business big, data analysis of search engine, big data storage management, analysis and 

processing of geographic navigation and other applications. 

3.2. Big data technology experimental management software platform 

Big data technology experimental management software platform is designed to provide a unified platform to 

manage all of the course teaching material, lecture notes, experimental instruction manual, the experimental data set, 

experimental assignments, experimental report, experimental results management and user management. Big data