private static void CreateInputOutputDatasets()

in SamplesV1/ParameterizedPipelinesForAzureML/DeployDataFactory/DeployDataFactory/ScoringPipeline.cs [121:179]
56 lines of code
2 McCabe index (conditional complexity)

        private static void CreateInputOutputDatasets(
            string resourceGroupName, 
            string dataFactoryName, 
            DataFactoryManagementClient client, 
            out string inputDataset, 
            out IList<string> outputDatasets, 
            string[] parameters)
        {
            inputDataset = "InputDatasetScoring";
            outputDatasets = new List<string>();
            foreach (string parameter in parameters)
            {
                string[] parameterList = parameter.Split(',');
                string region = parameterList[0];
                string tableName = String.Format("outputScoring_{0}", region);

                client.Datasets.CreateOrUpdate(resourceGroupName, dataFactoryName,
                    new DatasetCreateOrUpdateParameters()
                    {
                        Dataset = new Dataset()
                        {
                            Name = tableName,
                            Properties = new DatasetProperties()
                            {

                                LinkedServiceName = "LinkedService-AzureStorage",
                                TypeProperties = new AzureBlobDataset()
                                {
                                    FolderPath = String.Format("outputscoring/{0}/", region) + "{Slice}",
                                    FileName = "output.csv",
                                    Format = new TextFormat()
                                    {
                                        ColumnDelimiter = ","
                                    },
                                    PartitionedBy = new Collection<Partition>()
                                    {
                                        new Partition()
                                        {
                                            Name = "Slice",
                                            Value = new DateTimePartitionValue()
                                            {
                                                Date = "SliceStart",
                                                Format = "yyyyMMdd-HHmmss"
                                            }
                                        }
                                    }
                                },

                                Availability = new Availability()
                                {
                                    Frequency = SchedulePeriod.Minute,
                                    Interval = DataFactoryConfig.PipelineFrequencyInMinutes,
                                },
                            }
                        }                        
                    });
                outputDatasets.Add(tableName);                           
            }
        }