Data base system engineering and application system engineering.

The key to the development of big data is to have the ability and method of obtaining data, and the data obtained must not only be stored in a timely, complete and accurate manner, but also transmitted to the data demander in a timely, complete and accurate manner. With data, there must also be sufficient computing power.

So the basic system engineering includes data collection, aggregation, transmission, storage, computing resources, big data application platform, cloud computing platform, data resource pool, data analysis and mining tools and software, data property rights management, data standard system, data security system and so on.

Expanded Information:

Note:

1, an in-depth mapping of the existing data situation of the enterprise, to determine the situation of the customer-related data in the various business systems (distribution / data attributes / relevance / data quality, etc.)

2, through in the Through research and interviews in various business departments, as well as the development trend of user research, determine the overall future application requirements of each department of the enterprise's goals, and abstracted as related to customer attributes/labeling requirements.

3. On the basis of the first two steps, the overall design is completed through the cooperation between user researchers and big data architects/analysts.

4. There are many internal business systems involved in the data, and the developers are often different, plus the systems are usually managed by different business departments. Therefore, the integration of data from various business systems in various departments involves the departmental authority, interests and energies of multiple parties (management and developers). The related coordination/promotion is usually inefficient.

Baidu Encyclopedia - Big Data Economics