Shulou(Shulou.com)06/03 Report--

The most common way of system docking is the interface mode, under lucky circumstances, it can be docked smoothly, but the interface docking mode often takes a lot of time to coordinate with various software manufacturers.

Therefore, at present, there are many isolated islands of data in various industries, there are great difficulties in docking business software or obtaining data in software, especially the data crawling of CS software is more difficult.

In addition to the system interface, whether there are other ways, the editor summarizes the common data acquisition techniques for your reference, mainly divided into the following categories:

1. Data acquisition technology of CS software.

Cpact S architecture software belongs to the relatively old architecture, and there are few products that can collect this kind of software data.

It is common for a small group of software robots to collect data on the interface based on WYSIWYG without the cooperation of software manufacturers. The output is a structured database or excel table. If only business data is needed, or if the manufacturer closes down and the database analysis is difficult, this tool can collect data, especially the data collection function of the details page.

It is worth mentioning that the threshold for the use of this product is very low, and business students without IT background can also use it, which greatly expands the population of users.

Second, network data acquisition API.

Data is obtained from websites through web crawlers and public API provided by some website platforms, such as Twitter and Sina Weibo API. In this way, the web data of unstructured data and semi-structured data can be extracted from the web page.

The whole process of collecting and processing web pages on the Internet by big data consists of four main modules: web crawler (Spider), data processing (Data Process), crawling URL queue (URL Queue) and data.

III. Database mode

The two systems have their own databases, and it is convenient for the same type of databases:

1) if the two databases are on the same server, they can access each other directly as long as there is no problem with the user name. You need to bring the database name and the schema owner of the table with you after from.

2) if the databases of the two systems are not on the same server, it is recommended to deal with them in the form of linked servers, or openset and opendatasource, which requires the configuration of peripheral servers for database access.

The connection between different types of databases is troublesome, and a lot of settings need to be made to take effect. I will not elaborate here.

The open database method needs to coordinate various software manufacturers to open the database, which is very difficult; if a platform wants to connect to the databases of many software manufacturers at the same time, and obtain data in real time, this is also a great challenge to the performance of the platform itself.

Technology is changing with each passing day, and we look forward to more discussion.

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