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Why It Matters
Maintain the integrity of your data.
Metl control and insight over multiple steps of the data integration process. The user configures the old and new databases and selects which tables will be migrated. Transformation can be used for mapping between tables, sub-setting rows, and converting data. Triggers are automatically installed on tables to capture any changes being made. To migrate data, the user starts an initial load of data, which creates a table schema and populates it with data. The extract, transfer, and load sub-systems are controlled with multiple threads to maximize the hardware’s capability. Data is bulk loaded using a direct path method provided by each database platform.