1. Technical background
In the contemporary information society, data processing and analysis have become an important topic. The large number of data processing needs has promoted the continuous development of data processing technology, and many software solutions have emerged to solve the problem of massive data processing. However, current processing solutions often have problems such as inability to process data in real time, complex configuration, non-standard processing processes, and are not suitable for heterogeneous platforms. Therefore, how to solve the problem of efficient processing of massive data under heterogeneous platforms has become a new research direction in data processing technology.
This design proposes a graphical, process-based and automated solution for data processing. The main features are as follows.
1. Graphical development and configuration: Use visual graphic components to complete the configuration of each process of data processing by dragging, clicking, and setting properties. In this environment, developers do not need to write code manually, but use graphical UI and reusable interfaces to complete functions.
2. Real-time synchronous data collection: Using the advanced CDC (Change Data Capture) solution, by continuously monitoring changes in the original data system, extracting, converting and distributing them to the target database, incremental loading of data can be achieved in near real-time.
3. Batch-stream integrated computing: Batch processing can only process fixed data sets within a period of time offline, while stream processing processes data streams in real time. The processing method is continuous input and output, which needs to rely on The asynchronous transmission mechanism of the message server. This invention deeply integrates batch processing and stream processing technology