Parallel processing in informatica PowerCenter

In informatica PowerCenter parallel processing further improves hardware performance. Parallelism is actually achieved using partitioning sessions. This PowerCenter partitioning option from Informatica improves PowerCenter performance through parallel data processing. This allows user to split large data into sets of smaller subsets, which can also be processed to improve session performance.

Methods, used in Informatica PowerCenter for parallel processing.

Different type of parallel processing methods which are followed in informatica PowerCenter is mentioned below.

Hash User-Keys Partitioning: This partitioning is similar to automatic key partitioning, except that it groups data rows based on a user-defined or convenient partition key. You can select ports individually and define keys appropriately.

Hash Auto-keys partitioning: PowerCenter servers use hash autokey partitions to group data rows across partitions. The Integration Service uses these grouped ports as a composite partition. Hash Auto Keys partitions are used by the PowerCenter server to group data rows across partitions. These grouped ports are used by the Integration Service as a composite partition.

Database Partitioning: It is actually a type of table partitioning information. There is a specific type of service called an integration service that queries information from a database system or database. Essentially, partitioned data is searched by nodes in the database.

Round-Robin Partitioning: Ensure that data is evenly distributed across all partitions with the help of integration services. It also helps you group your data correctly.

Pass-through Partitioning: In this portioning, all rows are passed without being redistributed from one partition point to another by the Integration service.

Key Range Partitioning: Key range partitioning allows you to use one or more ports to create a composite partition key that is unique to a particular source. The Integration Service passes data based on each partition's name and specified range.