Implementing Informatica® Big Data Management 10.2 in an Amazon Cloud Environment

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Connectivity

You can use the following methods to read and write data between your data warehouse and Amazon AWS:

PowerExchange Adapter for Amazon S3: You can use PowerExchange for Amazon S3 to read and write delimited flat file data and binary files as pass-through data from and to Amazon S3 buckets. Create an Amazon S3 connection to specify the location of Amazon S3 sources and targets you want to include in a data object. You can use the Amazon S3 connection in data object read and write operations.; For more information about the Amazon S3 Adapter, see the
Informatica PowerExchange for Amazon S3 User Guide
.
PowerExchange Adapter for Amazon Redshift: You can use PowerExchange for Amazon Redshift to read data from or write data to Amazon Redshift. You can also use PowerExchange for Amazon Redshift to read data from Amazon Redshift views. You can use Amazon Redshift objects as sources and targets in mappings.; For more information about the Amazon Redshift Adapter, see the
Informatica PowerExchange for Amazon Redshift User Guide
.
Hive on Amazon S3: When you configure properties on the cluster and on the Informatica domain to access Hive tables on Amazon S3, you can use a Hive connection to read data from and write data to Hive tables.; For more information about configuring access to Hive tables on Amazon S3, see the
Informatica Big Data Management Installation and Configuration Guide
.