Release Guide

10.1
- 10.4.1
- 10.4.0
- 10.2 HotFix 2
- 10.2
- 10.1.1 HotFix 1
- 10.1.1
- 10.0

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PowerCenter Big Data Edition

This section describes new features and enhancements to PowerCenter Big Data Edition.

Automatic Workflow Recovery

You can configure automatic recovery of aborted workflow instances due to an unexpected shutdown of the Data Integration Service process. When you configure automatic recovery, the Data Integration Service process recovers aborted workflow instances due to a service process shutdown when the service process restarts.

For more information, see the

Informatica 9.6.0 Developer Workflow Guide

Mappings in the Hive Environment

You can run mappings with Cloudera 4.2, Hortonworks 1.3.2, MapR 2.1.3, and MapR 3.0.1 distributions.

When you choose Hive as the validation environment for the mapping, you can now choose a Hive version.

You can append to a Hive target table with Hive version 0.9 and later.

In a Java transformation, you can configure an input port as a partition key, a sort key, and assign a sort direction to get sorted output data.

To modify the Hadoop distribution directory on the Hadoop data nodes and the Data Integration Service node use the Hadoop resource descriptor configuration file hadoopRes.properties.

For more information, see the

Informatica PowerCenter Big Data Edition 9.6.0 User Guide

Partitioned Mappings in the Native Environment

If you have the Partitioning option, you can enable the Data Integration Service process to maximize parallelism when it runs mappings in the native environment. The Data Integration Service process must run on a node that has multiple CPUs. When you maximize parallelism, the Data Integration Service dynamically divides the underlying data into partitions and processes all of the partitions concurrently. When the Data Integration Service adds partitions, it increases the number of processing threads, which can increase mapping performance.

For more information, see the

Informatica 9.6.0 Mapping Guide

Version 9.6.0