Cross-industry data resource integration system based on big data
A technology of data resources and big data, which is applied in the field of cross-industry data resource integration system to achieve the effects of high comprehensive competitiveness, cost reduction and operational efficiency improvement
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[0050] Example 1 Multi-source heterogeneous data collection and storage process
[0051] According to the present invention, see the appendix figure 1 a and 1b, take the rack and pinion steering gear as an example, the data source can choose Taobao, 4s shop and sales order feedback.
[0052] First see attached figure 1 a, attached figure 1 a shows the method of collecting and processing multi-source heterogeneous data using the collection sub-module. For the 4s store and sales record collection path, structured data is generally obtained. The fields and attributes in the data table can be customized through the Sqoop tool, and the structured data table can be batch extracted to the distributed data warehouse based on the Hadoop architecture. Hive.
[0053] For search paths such as Taobao, generally unstructured data is obtained. In this embodiment, search the rack and pinion diverter assembly to obtain a total of a number of merchants, choose a merchant to enter the shop page, and ...
Example Embodiment
[0055] Example 2 Multi-source heterogeneous data fusion calculation example
[0056] According to the present invention, see the appendix figure 2 , Also take the rack and pinion steering gear as an example.
[0057] First, in the BP neural network model, the calculation method is as follows:
[0058] (1) Choose a two-layer BP model without limiting the number of hidden layer nodes;
[0059] (2) Determine the input data indicators and select 6 important influencing factors as indicators;
[0060] (3) Determine the number of nodes in the input layer and output layer as 6 and 1 respectively;
[0061] (4) Regarding the Sigmoid function as the transfer function, the formula of the Sigmoid function is: f(x)=(1+e-x)-1;
[0062] (5) Input the input data index into the input layer, the input layer receives the input signal, calculates the weight and then transmits the signal to the middle layer according to the unit's transfer function, and sends the output signal to the output layer. The formul...
Example Embodiment
[0073] Embodiment 3 The overall process of a cross-industry data resource integration system based on big data
[0074] Such as image 3 As shown, the cross-industry data resource integration system based on big data includes a multi-source heterogeneous data collection module, a multi-source heterogeneous data fusion computing module, a product data management module, a purchase management module, and a sales management module.
[0075] The multi-source heterogeneous data collection module is used to collect different types of data from at least one data source. At least one data source can be e-commerce platforms, 4S stores, customs, and sales orders. Different types of data include numerical data, text data, Transaction records, historical order information, logistics tracking information, etc. Refer to Example 1 for the data collection method.
[0076] After the collection is completed, the multi-source heterogeneous data fusion calculation module is used to process the multi-so...
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