A transformation requirement is a specification of a desired output data format. The information to be transformed can be any kind of data, including raw industrial data. This type of data includes that generated by automation controllers, human-machine interfaces, and industrial devices. It can also include metadata, contextual information, and security requirements. The transformation requirements component 406 selects the most appropriate transformation strategy based on volume, bandwidth, and storage. In contrast, a predefined transformation strategy may be suitable for an application requiring only limited transformation.

In general, the transformation requirements component 402 performs the desired transformation to raw data according to the cloud-based application requirements. In some instances, the transform requirement component 406 can also be included in the transformation process. This component determines the transformation requirements based on user-defined transformation instructions. If the user wants to configure the transformation, he can do so by configuring a user interface component 406. The user interface component 410 can set parameters such as data filtering criteria, aggregation criteria, and storage limit.

In this process, users can define the transformation requirements. For example, the user can specify the input and output data files. They can also choose the data aggregation criteria and data filtering criteria. Once the data files are ready, they can be uploaded to the cloud. This phase is crucial because the data must be transformed in a way that is suitable for the end-user. A good user interface component helps users define the transformation requirements in a way that meets their business requirements.

The requirements component 406 can store sets of transformation requirements in user-defined transform profiles. Using the transformed profile, the user can specify which transformations should be applied to the data. These transform profiles can be read by the requirements component 406. To customize the transformation profile, the user can configure it by defining the filtering criteria, data aggregation criteria, and cost limit. The user can also decide the upload frequency. This ensures that the transformation process is efficient.

During the transformation process, a user can define and store transformation rules. This step is essential for a successful transformation process. In the above-described scenario, the data mapping component receives data from a source and transforms it using the transformed data. The code generated by the data mapping component is the final step in the transformation process. Moreover, the transformed profile is configured to transform the target data. The user can also specify the parameters of the transformed profile, such as the cost, storage, and frequency of upload.

Once the transformation process is complete, a user can specify how the transformation requirements should be implemented. For instance, a user can specify how a certain product is filtered. Another user can specify the time frame the data needs to be stored. Customized data filtration can help the user select the best transformation for their needs. It will also help the user define the data aggregation criteria. It is useful to define the criteria for the data to be transformed.