Abstract: Embodiments include systems and methods for performing data migration using database consolidation. Information and parameters about a plurality of source databases from a source system can be stored, the parameters including a location, a security zone, and processor information for the source databases. Each of the plurality of source databases can be classified to one of a plurality of predetermined database sizes based on the stored information and parameters, wherein the classifying is at least based on the processor information. The classified source databases can be mapped to target database hardware based on the classified sizes and the stored parameters, wherein the target database hardware is segmented into containers that are defined by one or more of the parameters. Data from the source databases can be migrated to the target database hardware based on the mappings.

Abstract: Embodiments include systems and methods for performing data migration using source database classification. Information about source databases can be received from a source system, including source hardware types and processor information for the source databases. Each of the source databases can be classified to one of a plurality of predetermined database sizes based on the received information. The source system can be interrogated to derive information about the source databases, such as a processor utilization per database. Characteristics of the classified database sizes can be adjusted based on the derived information and resource requirements at a target system for the classified source databases can be determined. A shape for the target databases can be generated based on the resource requirements, the shape including target databases of predetermined database sizes implemented by target hardware, where the target databases are configured to receive migration data from the source databases.

Abstract: Embodiments include systems and methods for performing data migration using database consolidation. Information and parameters about a plurality of source databases from a source system can be stored, the parameters including a location, a security zone, and processor information for the source databases. Each of the plurality of source databases can be classified to one of a plurality of predetermined database sizes based on the stored information and parameters, wherein the classifying is at least based on the processor information. The classified source databases can be mapped to target database hardware based on the classified sizes and the stored parameters, wherein the target database hardware is segmented into containers that are defined by one or more of the parameters. Data from the source databases can be migrated to the target database hardware based on the mappings.

Abstract: Embodiments include systems and methods for performing data migration using source database classification. Information about source databases can be received from a source system, including source hardware types and processor information for the source databases. Each of the source databases can be classified to one of a plurality of predetermined database sizes based on the received information. The source system can be interrogated to derive information about the source databases, such as a processor utilization per database. Characteristics of the classified database sizes can be adjusted based on the derived information and resource requirements at a target system for the classified source databases can be determined. A shape for the target databases can be generated based on the resource requirements, the shape including target databases of predetermined database sizes implemented by target hardware, where the target databases are configured to receive migration data from the source databases.

Abstract: Embodiments include systems and methods for performing rules based scheduling and migration of databases based on complexity and weight. Information about source databases from a source system can be stored, the stored information including storage capacity information and downtime information for the source databases. Each of the source databases can be classified to one of a plurality of predetermined migration complexities based on the storage capacity information and downtime information. Scheduling weights can be assigned to each class of complexity. A migration schedule can be generated that defines periods of time for migrating data from the source databases, where a rules based scheduling engine generates the migration schedule based on the classified source databases and the assigned scheduling weights, the rules defining a weight criteria for the periods of time. Data can be migrated from the source databases to target databases according to the migration schedule.