You can extract historical data from DataSift for Twitter sources.

For more information, see the

Informatica PowerExchange for DataSift 9.6.1 User Guide

.

For more information, see the

Informatica PowerExchange for Greenplum 9.6.1 User Guide

.

You can extract information about a group, information about posts of a group, comments about a group post, and comments about specific posts from LinkedIn. You can also extract a list of groups suggested for the user and a list of groups in which the user is a member from LinkedIn.

For more information, see the

Informatica PowerExchange for LinkedIn 9.6.1 User Guide

.

You can use PowerExchange for HBase to read data in parallel from HBase. The Data Integration Service creates multiple Map jobs to read data in parallel.

For more information, see the

Informatica PowerExchange for HBase 9.6.1 User Guide

.

You can create a Hive connection that connects to HiveServer or HiveServer2. Previously, you could create a Hive connection that connects to HiveServer. HiveServer2 supports Kerberos authentication and concurrent connections.

For more information, see the

Informatica PowerExchange for Hive 9.6.1 User Guide

.

You can use the Schema Editor to change the schema of MongoDB collections. You can also use virtual tables for MongoDB collections that have nested columns.

For more information, see the

Informatica PowerExchange for MongoDB 9.6.1 User Guide

.

When you load data to a Teradata table in a Hive run-time environment, you can use the Teradata Connector for Hadoop (TDCH) to increase performance. To use TDCH to load data, add the EnableTdch custom property at the Data Integration Service level and set its value to true.

For more information, see the

Informatica PowerExchange for Teradata Parallel Transporter API 9.6.1 User Guide

.