In this last scenario, some essential data may fall outside of the defined time period, but the nonproduction system still requires it. To handle this situation, SAP Test Data Migration Server, configured and implemented on systems running the SAP ERP application, includes rules that logically link data, ensuring that all relevant information is transferred and that the consistency of the involved business processes and data is maintained even beyond the defined time period.
You can also reduce data sets based on organizational structure, such as company code or plant. That we can use the BPL-based transfer migration solution to copy data relevant to the business processes from the sender system to the receiver system. For most of the projects UAT and SIT business required live vendor master data for production to the non-production environment, Through TDMS we can copy consistent data into the non-production system.
This information could contain technical inaccuracies, typographical errors, and out-of-date information. This document may be updated or changed without notice at any time.
Use of the information is therefore at your own risk. In no event shall SAP be liable for special, indirect, incidental, or consequential damages resulting from or related to the use of this document. We can modify default BPL objects based on business requirements, Through the Business Process library modeler, we can create a copy of BPL Objets and can be performed the below task and create customized BPL solution based on the requirement.
Created project template based on the requirement, in our scenario we have to copy vendor master. Add a required portfolio to the template, In our case, we need to copy vendor master and it comes under BPL. We will define the data transfer system landscape in this step and during the process, itself all communication automatically will be created between the control system, source, and target system.
Click on enter package and it will open the data transfer dashboard same as below. Technical Settings. Some of the settings are optional and we can ignore them, We can select the row and start execution for mandatory steps.
This is one of the most important steps where we have to provide either individual vendor master numbers or a range of vendor masters based on the LFA1 table. This is an optional setup, Execute the below step if you want to clear all data from the receiver system or if you want to merge data with the current receiver system-level below step. In this step, you start the data selection for all migration objects with reading type Cluster Technique.
The data of these migration objects are stored in partitioned and compressed form in a storage table in the sender system cluster. If you assigned another cluster technique-related reading type to any objects in the optional step for manual selection of reading types, this step covers those objects as well. This from tool description. Without anonymization, data cannot be consumed for purposes other than what it was originally collected-for.
Access to data is granted for the explicit execution of a business process and any connected legal purpose such as data retention for product liability control or statutory reporting. Data anonymization can be applied to SQL views or calculation views, thus enabling analytics on data while still protecting the privacy of individuals. This topic has gained significant importance in recent years and SAP platform teams are working to enhance these features.
However, what is clearly lacking at the time of this article is a Software Application that applies these principles holistically to SAP data while preserving relationships and content such that business processes can still function effectively. Non-productive environments built via SAP TDMS could then be accessed by IT project teams included outsourced teams for projects involving new innovations, as well as business teams for meaningful testing of business processes based on scrambled data from a productive environment..
However, no holistic solution, covering all SAP solutions whether cloud, on-premise or a hybrid, is available. DAZAM is positioned as a tool which can simplify the process for privacy preservation for data in a company and make multiple use cases for scrambled data possible. The tool can be used by IT teams to scramble data in a copy of production systems, with some unique features which were not possible earlier or with any other offering in the market:.
Additionally, commercially sensitive data proprietary and confidential information such as suppliers, vendors, product information etc, was also deemed in-scope. A full production copy of the data was taken and provided to the project team. A simplistic view of the landscape is presented below:. The project started with gathering requirements on what data should be scrambled. Extensive tests were conducted after scrambling of the systems to ensure that scrambling met the specifications.
The Team plans to do more co-innovation projects as facilitated under Customer Engagement Initiative in this link. Two projects have completed by the end of January Second project saw most of the features in use as listed below with over 52 Billion values scrambled in the system using DAZAM tool. Data anonymization is a key requirement for every company operating in European Union affecting majority of SAP customers. DAZAM tool is a first hand evaluation of a solution for meeting the tough technical, legal and data utility requirements for data scrambling.
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