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  • PowerExchange Adapters for Informatica 10.5.3
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to PowerExchange for Amazon Redshift
  3. PowerExchange for Amazon Redshift Configuration
  4. Amazon Redshift Connections
  5. PowerExchange for Amazon Redshift Data Objects
  6. Amazon Redshift Mappings
  7. Pushdown Optimization
  8. Amazon Redshift Lookup
  9. Appendix A: Amazon Redshift Datatype Reference
  10. Appendix B: Troubleshooting

PowerExchange for Amazon Redshift User Guide

PowerExchange for Amazon Redshift User Guide

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Configure Databricks Cluster

Configure Databricks Cluster

Set the access key ID and secret access key values under Spark Config in your Databricks cluster configuration to access Amazon S3 storage. You must specify one key value pair per line and each key value pair must be separated by a single space. 
spark.hadoop.fs.s3a.awsAccessKeyId xxyyzz
spark.hadoop.fs.s3a.awsSecretAccessKey xxxyyyzzz

Access using IAM role

Optional. Create an IAM role associated with the AWS account of the Databricks deployment. Amazon S3 bucket must belong to the same account associated with the Databricks deployment. If the bucket belongs to a different AWS account, then, the Cross-Account bucket policy must be enabled to access the bucket.

Server-side S3 encryption (AES-256)

Optional. Set the
server-side-encryption-algorithm
 property under Spark Config in your Databricks cluster configuration: 
spark.hadoop.fs.s3a.server-side-encryption-algorithm AES256

Server-side encryption using SSE-KMS

Optional. Set the following properties under Spark Config in your Databricks cluster configuration: 
spark.hadoop.fs.s3a.server-side-encryption-kms-master-key-id arn:aws:kms:us-west-XX:key/XXXYYYYYYY
spark.hadoop.fs.s3a.server-side-encryption-algorithm aws:kms
spark.hadoop.fs.s3a.impl com.databricks.s3a.S3AFileSystem
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