Big data may require additional bandwidth to process large amounts of data. For example, when you run a Model repository profile on an extremely large data set, the Data Integration Service grid splits the profile into multiple mappings and runs the mappings simultaneously on different nodes in the grid.

When you run mappings on a grid, the Data Integration Service distributes the mappings to multiple DTM processes on nodes in the grid. When you run a profile on a grid, the Data Integration Service splits the profile into multiple mappings and distributes the mappings to multiple DTM processes on nodes in the grid. You can optimize the grid to increase performance and scalability of the Data Integration Service.

To optimize the grid, add notes to the grid to increase processing bandwidth of the Data Integration Service.

For more information about the Data Integration Service grid, see the Informatica Administrator Guide.