AWS Quicksight提供了API来管理数据集，其中包括定期增量刷新的配置和管理。下面是一个Python代码示例，演示如何使用AWS Quicksight API来配置和触发数据集的定期增量刷新。

import boto3
import json

quicksight = boto3.client('quicksight')

# Create a new scheduled incremental refresh for a dataset
def create_incremental_refresh(dataset_name, data_source_name, incremental_columns, schedule_expression):
  response = quicksight.create_data_set(
    AwsAccountId='xxxxxxx',
    DataSetId=dataset_name,
    ImportMode='SPICE',
    PhysicalTableMap={
      data_source_name: {
        'S3Source': {
          'DataSourceArn': 'arn:aws:quicksight:us-east-1:xxxxxxxxxxxx:datasource/'+data_source_name,
          'InputColumns': incremental_columns,
          'UploadSettings': {
            'Format': 'CSV',
            'ContainsHeader': True
          }
        },
        'Columns': incremental_columns
      }
    },
    LogicalTableMap={
      'data_set_name':{
        'Alias': dataset_name,
        'Source': {
          'PhysicalTableId': data_source_name
        },
        'DataTransforms':[
          {
            'RenameColumnOperation': {
              'ColumnName': 'column_name',
              'NewColumnName': 'new_column_name'
            }
          }
        ]
      }
    },
    Permissions=[
      {
        'Principal': 'arn:aws:iam::xxxxxxxxxxxx:user/username',
        'Actions': [
          'quicksight:DescribeDataSet',
          'quicksight:DescribeDataSetPermissions',
          'quicksight:PassDataSet',
          'quicksight:UpdateDataSet'
        ],
        'Permissions': [
          'READ',
          'WRITE',
          'CREATE',
          'DELETE',
          'DESCRIBE',
          'ALTER',
          'VIEW'
        ],
        'GrantOption': True
      }
    ],
    VersionDescription='1',
    RowLevelPermissionDataSet='string',
    ColumnGroups=[
      {
        'GeoSpatialColumnGroup': {
          'Name': '