AWS Redshift提供了一些工具和方法来跟踪和监测数据的变化并触发通知给管理员。

一种解决方案是使用AWS Lambda函数来轮询Redshift数据变动并触发通知。以下是一个Lambda函数代码示例，它可以查询Redshift中的表并检查最后更新时间是否超过2个月。

import boto3
from datetime import datetime, timedelta

def lambda_handler(event, context):
    # Connect to Redshift
    client = boto3.client('redshift')
    redshift_cluster_identifier = 'my-cluster'
    redshift_database_name = 'my-db'
    redshift_table_name = 'my-table'
    
    # Get latest change for table
    last_updated_query = f"SELECT MAX(last_updated) FROM {redshift_database_name}.{redshift_table_name};"
    response = client.execute_statement(
        ClusterIdentifier=redshift_cluster_identifier,
        Database=redshift_database_name,
        Sql=last_updated_query
    )
    last_updated = response['records'][0][0]['stringValue']
    last_updated = datetime.strptime(last_updated, '%Y-%m-%d %H:%M:%S.%f')
    
    # Check if last update was more than 2 months ago
    if last_updated <= datetime.now() - timedelta(days=60):
        # Trigger SNS notification to admin
        sns = boto3.client('sns')
        topic_arn = 'arn:aws:sns:us-east-1:123456789012:my-topic'
        message = f"The table {redshift_table_name} in database {redshift_database_name} on cluster {redshift_cluster_identifier} was last updated on {last_updated}."
        sns.publish(
            TopicArn=topic_arn,
            Subject='Redshift table update beyond 2 months',
            Message=message
        )

这个Lambda函数首先连接到Redshift集群并查询日期最长的修改时间，然后检查这个日期是否超过了2个月，并在