根据AWS Kinesis Firehose的文档，该功能已经被废弃，无法直接通过控制台进行演示数据测试。不过，您可以使用AWS Lambda函数和CloudWatch日志组来测试数据。以下是一个简单的Python Lambda函数示例，可以将数据写入CloudWatch日志组：

import json
import boto3
import logging

client = boto3.client('logs')
logger = logging.getLogger()
logger.setLevel(logging.INFO)

def lambda_handler(event, context):
    logger.info('Received event: ' + json.dumps(event))
    logger.info('DeliveryStreamArn: ' + event['deliveryStreamArn'])
    logger.info('DeliveryStreamName: ' + event['deliveryStreamName'])

    for record in event['records']:
        payload = base64.b64decode(record['data']).decode('utf-8')
        logger.info('Payload: ' + payload)
        response = client.create_log_group(
            logGroupName='firehose-test',
            tags={
                'Source': 'FirehoseTest'
            }
        )
        response = client.create_log_stream(
            logGroupName='firehose-test',
            logStreamName='test-stream'
        )
        response = client.put_log_events(
            logGroupName='firehose-test',
            logStreamName='test-stream',
            logEvents=[
                {
                    'timestamp': int(round(time.time() * 1000)),
                    'message': payload
                }
            ]
        )
        logger.info('PutLogEvents response: ' + json.dumps(response))
    return 'Successfully processed {} records.'.format(len(event['records']))

您可以将此Lambda函数与Kinesis Firehose流程相关联，以测试数据并将其写入CloudWatch日志组。请注意，您需要在CloudWatch日志组中手动创建日志组和日志流。此外，您需要在Lambda函数的IAM角色中授权一些相关权限，使其能够访问CloudWatch和Kinesis Firehose。

此外，您还可以编写其他脚本或小型应用来模拟和测试数据，然后