Category: Analytics
Service: AWS Data Pipeline
Answer:
AWS Data Pipeline provides several built-in activities for data replication and synchronization across different data sources and environments. These activities include:
CopyActivity: This activity allows you to copy data from one data source to another. You can use this activity to move data from one Amazon S3 bucket to another, or to copy data from a relational database to Amazon S3.
RedshiftCopyActivity: This activity allows you to copy data from an Amazon S3 bucket to an Amazon Redshift cluster. You can use this activity to load data into Amazon Redshift from an Amazon S3 bucket.
HiveActivity: This activity allows you to run Hive queries on data stored in Amazon S3 or Amazon EMR. You can use this activity to transform data stored in Amazon S3, or to join data stored in different data sources.
ShellCommandActivity: This activity allows you to run shell commands on an Amazon EC2 instance or an Amazon EMR cluster. You can use this activity to perform custom data replication or synchronization tasks.
In addition to these built-in activities, AWS Data Pipeline also supports custom activities. You can use custom activities to perform data replication and synchronization tasks that are not supported by the built-in activities. Custom activities can be implemented using AWS Lambda functions or custom scripts.
AWS Data Pipeline also provides monitoring and logging capabilities for data replication and synchronization workflows. You can use the AWS Management Console or the AWS CLI to monitor the status of your workflows and to view detailed logs of each activity.
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