Abstract: A device may receive business requirements data for implementing in a cloud data fusion system, and may process the business requirements data, with a machine learning model, to generate a transformation map for transforming the business requirements data. The device may generate code for the cloud data fusion system based on the transformation map, and may identify one or more differences between the code and previous code of the cloud data fusion system. The device may modify the code based on the one or more differences and to generate modified code, and may validate the modified code for transformation logic of the cloud data fusion system to generate final code. The device may perform one or more actions based on the final code.

Abstract: A device may identify a query for a database system, wherein the query is a candidate for optimization. The device may determine a first execution plan according to a first hint for executing the query and a second execution plan according to a second hint for executing the query, wherein the first execution plan is associated with a first execution time and the second execution plan is associated with a second execution time. The device may select the first execution plan or the second execution plan as a selected execution plan. The device may generate, based on selecting the selected execution plan, a profile for the query, wherein the profile is based on the selected execution plan. The database system may execute the query according to the profile.

Abstract: A robotic process automation (RPA) system provides solutions to issues generated during processing of entities in an application stack including a plurality of applications. The data regarding an issue is analyzed to categorize the issue as a new issue or an existing issue. For existing issues, solutions to resolve the issues are identified from a knowledge base. Even if the issue is categorized as a new issue, an identification of a solution from the knowledge base is initially attempted. If no solution can be identified, then the new issue is presented for user input and the solutions based on the user input are implemented for the resolution.

Abstract: A device may identify a query for a database system, wherein the query is a candidate for optimization. The device may determine a first execution plan according to a first hint for executing the query and a second execution plan according to a second hint for executing the query, wherein the first execution plan is associated with a first execution time and the second execution plan is associated with a second execution time. The device may select the first execution plan or the second execution plan as a selected execution plan. The device may generate, based on selecting the selected execution plan, a profile for the query, wherein the profile is based on the selected execution plan. The database system may execute the query according to the profile.

Abstract: A robotic process automation (RPA) system provides solutions to issues generated during processing of entities in an application stack including a plurality of applications. The data regarding an issue is analyzed to categorize the issue as a new issue or an existing issue. For existing issues, solutions to resolve the issues are identified from a knowledge base. Even if the issue is categorized as a new issue, an identification of a solution from the knowledge base is initially attempted. If no solution can be identified, then the new issue is presented for user input and the solutions based on the user input are implemented for the resolution.