Transformation requirements are the parameters that a system needs to meet before deciding on the type of data to transform. The data that is being transformed should be in the proper format for the application. A company should consider the volume of the raw data as well as the bandwidth and storage limits. The system should be able to process large volumes of data. It should also be able to handle metadata and contextual information. The following section describes the main components of a data transformation.
-Data Transformations. There are several aspects of data transformation. Some are user defined while others are cloud-specific. There are also different data-specific transformations. Considering these requirements, the system can select the best transformation strategy for the data. It will also ensure that the data is in the format required by the application. In addition, the system should be able to deal with multiple types of data. Moreover, it should be able to determine if a particular format is better for a particular application than another.
In addition to data-specific transformations, a transform profile can include cloud requirements. The cloud requirements, also referred to as the data-specific transformations, define the data that is required to be transformed. These can be determined by the cloud-specific transformation components. Depending on the nature of these requirements, the transformation component can choose an appropriate data transformation strategy. So, a transformation profile can be used to determine the optimal transformation strategy for a particular application.
In addition to data-based transformation requirements, a transformation component can be integrated into an industrial device. It can receive raw data and modify it into refined data. Then, a cloud interface component can push the refined data to the client. Once the transformation component completes its process, the data can be uploaded to the cloud. For example, the data in a production facility can be viewed by attorneys at any time. However, the information that comes from a manufacturing plant can be incorporated into a digital service.
To be effective in an enterprise, transformation requirements must be specific to the business. For instance, a customer’s requirement may be a requirement for data that is required to be stored on a cloud. These cloud requirements should also be specific to the type of data being transformed. For example, a customer may need to request a sales report. The product-specific transformation profile should take these factors into consideration. The transform component can then generate a data transformation strategy that is appropriate for the application.
A transformation profile is a profile that defines the specific data that needs to be transformed. For example, a transform profile includes data-specific transformations and cloud requirements. These three components define the data that is required to be transformed. In some cases, the transformation component also specifies the limitations of the cloud on bandwidth, storage, and cost. Once these criteria are known, it can decide on the right transformation strategy for the application. This allows for a smoother user experience and an easier transition for employees.