diff --git a/dataflow/DistinctRowsAll.json b/dataflow/DistinctRowsAll.json
new file mode 100644
index 0000000..a57b750
--- /dev/null
+++ b/dataflow/DistinctRowsAll.json
@@ -0,0 +1,54 @@
+{
+	"name": "DistinctRowsAll",
+	"properties": {
+		"description": "Distinct Rows using fuzzy, key, all cols",
+		"type": "MappingDataFlow",
+		"typeProperties": {
+			"sources": [
+				{
+					"dataset": {
+						"referenceName": "MoviesD2",
+						"type": "DatasetReference"
+					},
+					"name": "MoviesCSV"
+				}
+			],
+			"sinks": [
+				{
+					"dataset": {
+						"referenceName": "folderout",
+						"type": "DatasetReference"
+					},
+					"name": "OutputDistinctData"
+				}
+			],
+			"transformations": [
+				{
+					"name": "DistinctRows"
+				},
+				{
+					"name": "RowCountDistinct"
+				},
+				{
+					"name": "OriginalData"
+				},
+				{
+					"name": "RowCountOrig"
+				},
+				{
+					"name": "DistinctAllCols"
+				},
+				{
+					"name": "FuzzyMatch"
+				},
+				{
+					"name": "RowCountAll"
+				},
+				{
+					"name": "RowCountFuzzy"
+				}
+			],
+			"script": "source(output(\n\t\tmovie as string,\n\t\ttitle as string,\n\t\tgenres as string,\n\t\tyear as string,\n\t\tRating as string,\n\t\tRottenTomato as string\n\t),\n\tallowSchemaDrift: true,\n\tvalidateSchema: false,\n\tignoreNoFilesFound: false) ~> MoviesCSV\nMoviesCSV aggregate(groupBy(movie),\n\teach(match(name!='movie'), $$ = first($$))) ~> DistinctRows\nDistinctRows aggregate(rowcount_agg = count(1)) ~> RowCountDistinct\nMoviesCSV select(mapColumn(\n\t\tmovie,\n\t\ttitle,\n\t\tgenres,\n\t\tyear,\n\t\tRating,\n\t\tRottenTomato\n\t),\n\tskipDuplicateMapInputs: false,\n\tskipDuplicateMapOutputs: false) ~> OriginalData\nOriginalData aggregate(rowcount_orig = count(1)) ~> RowCountOrig\nMoviesCSV aggregate(groupBy(mycols = sha2(256,columns())),\n\teach(match(true()), $$ = first($$))) ~> DistinctAllCols\nMoviesCSV aggregate(groupBy(colsfuzzy = sha2(256,movie,year,soundex(title))),\n\teach(match(true()), $$ = first($$))) ~> FuzzyMatch\nDistinctAllCols aggregate(rowcountall = count(1)) ~> RowCountAll\nFuzzyMatch aggregate(rowcountfuzzy = count(1)) ~> RowCountFuzzy\nDistinctRows sink(allowSchemaDrift: true,\n\tvalidateSchema: false,\n\tpartitionBy('hash', 1)) ~> OutputDistinctData"
+		}
+	}
+}
\ No newline at end of file
diff --git a/dataflow/DistinctRowsAll1.json b/dataflow/DistinctRowsAll1.json
new file mode 100644
index 0000000..2dd68cf
--- /dev/null
+++ b/dataflow/DistinctRowsAll1.json
@@ -0,0 +1,54 @@
+{
+	"name": "DistinctRowsAll1",
+	"properties": {
+		"description": "Distinct Rows using fuzzy, key, all cols",
+		"type": "MappingDataFlow",
+		"typeProperties": {
+			"sources": [
+				{
+					"dataset": {
+						"referenceName": "MoviesD2",
+						"type": "DatasetReference"
+					},
+					"name": "MoviesCSV"
+				}
+			],
+			"sinks": [
+				{
+					"dataset": {
+						"referenceName": "folderout",
+						"type": "DatasetReference"
+					},
+					"name": "OutputDistinctData"
+				}
+			],
+			"transformations": [
+				{
+					"name": "DistinctRows"
+				},
+				{
+					"name": "RowCountDistinct"
+				},
+				{
+					"name": "OriginalData"
+				},
+				{
+					"name": "RowCountOrig"
+				},
+				{
+					"name": "DistinctAllCols"
+				},
+				{
+					"name": "FuzzyMatch"
+				},
+				{
+					"name": "RowCountAll"
+				},
+				{
+					"name": "RowCountFuzzy"
+				}
+			],
+			"script": "source(output(\n\t\tmovie as string,\n\t\ttitle as string,\n\t\tgenres as string,\n\t\tyear as string,\n\t\tRating as string,\n\t\tRottenTomato as string\n\t),\n\tallowSchemaDrift: true,\n\tvalidateSchema: false,\n\tignoreNoFilesFound: false) ~> MoviesCSV\nMoviesCSV aggregate(groupBy(movie),\n\teach(match(name!='movie'), $$ = first($$))) ~> DistinctRows\nDistinctRows aggregate(rowcount_agg = count(1)) ~> RowCountDistinct\nMoviesCSV select(mapColumn(\n\t\tmovie,\n\t\ttitle,\n\t\tgenres,\n\t\tyear,\n\t\tRating,\n\t\tRottenTomato\n\t),\n\tskipDuplicateMapInputs: false,\n\tskipDuplicateMapOutputs: false) ~> OriginalData\nOriginalData aggregate(rowcount_orig = count(1)) ~> RowCountOrig\nMoviesCSV aggregate(groupBy(mycols = sha2(256,columns())),\n\teach(match(true()), $$ = first($$))) ~> DistinctAllCols\nMoviesCSV aggregate(groupBy(colsfuzzy = sha2(256,movie,year,soundex(title))),\n\teach(match(true()), $$ = first($$))) ~> FuzzyMatch\nDistinctAllCols aggregate(rowcountall = count(1)) ~> RowCountAll\nFuzzyMatch aggregate(rowcountfuzzy = count(1)) ~> RowCountFuzzy\nDistinctRows sink(allowSchemaDrift: true,\n\tvalidateSchema: false,\n\tpartitionBy('hash', 1)) ~> OutputDistinctData"
+		}
+	}
+}
\ No newline at end of file
diff --git a/dataflow/DistinctRowsAll_copy1.json b/dataflow/DistinctRowsAll_copy1.json
new file mode 100644
index 0000000..cfeea76
--- /dev/null
+++ b/dataflow/DistinctRowsAll_copy1.json
@@ -0,0 +1,54 @@
+{
+	"name": "DistinctRowsAll_copy1",
+	"properties": {
+		"description": "Distinct Rows using fuzzy, key, all cols",
+		"type": "MappingDataFlow",
+		"typeProperties": {
+			"sources": [
+				{
+					"dataset": {
+						"referenceName": "MoviesD2",
+						"type": "DatasetReference"
+					},
+					"name": "MoviesCSV"
+				}
+			],
+			"sinks": [
+				{
+					"dataset": {
+						"referenceName": "folderout",
+						"type": "DatasetReference"
+					},
+					"name": "OutputDistinctData"
+				}
+			],
+			"transformations": [
+				{
+					"name": "DistinctRows"
+				},
+				{
+					"name": "RowCountDistinct"
+				},
+				{
+					"name": "OriginalData"
+				},
+				{
+					"name": "RowCountOrig"
+				},
+				{
+					"name": "DistinctAllCols"
+				},
+				{
+					"name": "FuzzyMatch"
+				},
+				{
+					"name": "RowCountAll"
+				},
+				{
+					"name": "RowCountFuzzy"
+				}
+			],
+			"script": "source(output(\n\t\tmovie as string,\n\t\ttitle as string,\n\t\tgenres as string,\n\t\tyear as string,\n\t\tRating as string,\n\t\tRottenTomato as string\n\t),\n\tallowSchemaDrift: true,\n\tvalidateSchema: false,\n\tignoreNoFilesFound: false) ~> MoviesCSV\nMoviesCSV aggregate(groupBy(movie),\n\teach(match(name!='movie'), $$ = first($$))) ~> DistinctRows\nDistinctRows aggregate(rowcount_agg = count(1)) ~> RowCountDistinct\nMoviesCSV select(mapColumn(\n\t\tmovie,\n\t\ttitle,\n\t\tgenres,\n\t\tyear,\n\t\tRating,\n\t\tRottenTomato\n\t),\n\tskipDuplicateMapInputs: false,\n\tskipDuplicateMapOutputs: false) ~> OriginalData\nOriginalData aggregate(rowcount_orig = count(1)) ~> RowCountOrig\nMoviesCSV aggregate(groupBy(mycols = sha2(256,columns())),\n\teach(match(true()), $$ = first($$))) ~> DistinctAllCols\nMoviesCSV aggregate(groupBy(colsfuzzy = sha2(256,movie,year,soundex(title))),\n\teach(match(true()), $$ = first($$))) ~> FuzzyMatch\nDistinctAllCols aggregate(rowcountall = count(1)) ~> RowCountAll\nFuzzyMatch aggregate(rowcountfuzzy = count(1)) ~> RowCountFuzzy\nDistinctRows sink(allowSchemaDrift: true,\n\tvalidateSchema: false,\n\tpartitionBy('hash', 1)) ~> OutputDistinctData"
+		}
+	}
+}
\ No newline at end of file
diff --git a/dataset/MoviesD2.json b/dataset/MoviesD2.json
new file mode 100644
index 0000000..4c438b9
--- /dev/null
+++ b/dataset/MoviesD2.json
@@ -0,0 +1,48 @@
+{
+	"name": "MoviesD2",
+	"properties": {
+		"linkedServiceName": {
+			"referenceName": "DAzureBlobStorage1",
+			"type": "LinkedServiceReference"
+		},
+		"annotations": [],
+		"type": "DelimitedText",
+		"typeProperties": {
+			"location": {
+				"type": "AzureBlobStorageLocation",
+				"fileName": "moviesDB2.csv",
+				"container": "csv"
+			},
+			"columnDelimiter": ",",
+			"escapeChar": "\\",
+			"firstRowAsHeader": true,
+			"quoteChar": "\""
+		},
+		"schema": [
+			{
+				"name": "movie",
+				"type": "String"
+			},
+			{
+				"name": "title",
+				"type": "String"
+			},
+			{
+				"name": "genres",
+				"type": "String"
+			},
+			{
+				"name": "year",
+				"type": "String"
+			},
+			{
+				"name": "Rating",
+				"type": "String"
+			},
+			{
+				"name": "RottenTomato",
+				"type": "String"
+			}
+		]
+	}
+}
\ No newline at end of file
diff --git a/dataset/folderout.json b/dataset/folderout.json
new file mode 100644
index 0000000..2d04b00
--- /dev/null
+++ b/dataset/folderout.json
@@ -0,0 +1,22 @@
+{
+	"name": "folderout",
+	"properties": {
+		"linkedServiceName": {
+			"referenceName": "DAzureBlobStorage1",
+			"type": "LinkedServiceReference"
+		},
+		"annotations": [],
+		"type": "DelimitedText",
+		"typeProperties": {
+			"location": {
+				"type": "AzureBlobStorageLocation",
+				"container": "data"
+			},
+			"columnDelimiter": ",",
+			"escapeChar": "\\",
+			"firstRowAsHeader": false,
+			"quoteChar": "\""
+		},
+		"schema": []
+	}
+}
\ No newline at end of file
diff --git a/linkedService/AzureDataLakeStorage1.json b/linkedService/AzureDataLakeStorage1.json
new file mode 100644
index 0000000..1146a2c
--- /dev/null
+++ b/linkedService/AzureDataLakeStorage1.json
@@ -0,0 +1,12 @@
+{
+	"name": "AzureDataLakeStorage1",
+	"type": "Microsoft.DataFactory/factories/linkedservices",
+	"properties": {
+		"annotations": [],
+		"type": "AzureBlobFS",
+		"typeProperties": {
+			"url": "https://glukstoacc.dfs.core.windows.net/",
+			"encryptedCredential": "ew0KICAiVmVyc2lvbiI6ICIyMDE3LTExLTMwIiwNCiAgIlByb3RlY3Rpb25Nb2RlIjogIktleSIsDQogICJTZWNyZXRDb250ZW50VHlwZSI6ICJQbGFpbnRleHQiLA0KICAiQ3JlZGVudGlhbElkIjogIkRBVEFGQUNUT1JZQEY1QzY0MjM0LTRCNzktNDE0Qi1CQTA5LTdGRTk0NTBBMzU5RF9lNTg4YjNlYy0zODMzLTQ1OWMtYWRlZi05NjIxNGU2OTM4NGQiDQp9"
+		}
+	}
+}
\ No newline at end of file
diff --git a/linkedService/DAzureBlobStorage1.json b/linkedService/DAzureBlobStorage1.json
new file mode 100644
index 0000000..57d3a2f
--- /dev/null
+++ b/linkedService/DAzureBlobStorage1.json
@@ -0,0 +1,12 @@
+{
+	"name": "DAzureBlobStorage1",
+	"type": "Microsoft.DataFactory/factories/linkedservices",
+	"properties": {
+		"annotations": [],
+		"type": "AzureBlobStorage",
+		"typeProperties": {
+			"connectionString": "DefaultEndpointsProtocol=https;AccountName=glukstoacc;EndpointSuffix=core.windows.net;",
+			"encryptedCredential": "ew0KICAiVmVyc2lvbiI6ICIyMDE3LTExLTMwIiwNCiAgIlByb3RlY3Rpb25Nb2RlIjogIktleSIsDQogICJTZWNyZXRDb250ZW50VHlwZSI6ICJQbGFpbnRleHQiLA0KICAiQ3JlZGVudGlhbElkIjogIkRBVEFGQUNUT1JZQEY1QzY0MjM0LTRCNzktNDE0Qi1CQTA5LTdGRTk0NTBBMzU5RF9lMDA4NmI4OC03MWE2LTQ3YTYtYWRlMy00ZmVlM2VlM2ViMmIiDQp9"
+		}
+	}
+}
\ No newline at end of file
diff --git a/pipeline/DistinctRows.json b/pipeline/DistinctRows.json
new file mode 100644
index 0000000..fcc7cbb
--- /dev/null
+++ b/pipeline/DistinctRows.json
@@ -0,0 +1,33 @@
+{
+	"name": "DistinctRows",
+	"properties": {
+		"description": "Many examples of shareable data flows for distinct rows and deduping data",
+		"activities": [
+			{
+				"name": "DistinctRows",
+				"type": "ExecuteDataFlow",
+				"dependsOn": [],
+				"policy": {
+					"timeout": "7.00:00:00",
+					"retry": 0,
+					"retryIntervalInSeconds": 30,
+					"secureOutput": false,
+					"secureInput": false
+				},
+				"userProperties": [],
+				"typeProperties": {
+					"dataflow": {
+						"referenceName": "DistinctRowsAll",
+						"type": "DataFlowReference"
+					},
+					"compute": {
+						"coreCount": 8,
+						"computeType": "General"
+					},
+					"traceLevel": "Fine"
+				}
+			}
+		],
+		"annotations": []
+	}
+}
\ No newline at end of file
diff --git a/pipeline/DistinctRows1.json b/pipeline/DistinctRows1.json
new file mode 100644
index 0000000..4d6985d
--- /dev/null
+++ b/pipeline/DistinctRows1.json
@@ -0,0 +1,33 @@
+{
+	"name": "DistinctRows1",
+	"properties": {
+		"description": "Many examples of shareable data flows for distinct rows and deduping data",
+		"activities": [
+			{
+				"name": "DistinctRows",
+				"type": "ExecuteDataFlow",
+				"dependsOn": [],
+				"policy": {
+					"timeout": "7.00:00:00",
+					"retry": 0,
+					"retryIntervalInSeconds": 30,
+					"secureOutput": false,
+					"secureInput": false
+				},
+				"userProperties": [],
+				"typeProperties": {
+					"dataflow": {
+						"referenceName": "DistinctRowsAll1",
+						"type": "DataFlowReference"
+					},
+					"compute": {
+						"coreCount": 8,
+						"computeType": "General"
+					},
+					"traceLevel": "Fine"
+				}
+			}
+		],
+		"annotations": []
+	}
+}
\ No newline at end of file
diff --git a/publish_config.json b/publish_config.json
new file mode 100644
index 0000000..3c723d0
--- /dev/null
+++ b/publish_config.json
@@ -0,0 +1 @@
+{"publishBranch":"adf_publish"}
\ No newline at end of file
diff --git a/templates/Distinct Rows All/Distinct Rows All.json b/templates/Distinct Rows All/Distinct Rows All.json
new file mode 100644
index 0000000..1c0d84b
--- /dev/null
+++ b/templates/Distinct Rows All/Distinct Rows All.json	
@@ -0,0 +1,193 @@
+{
+	"$schema": "http://schema.management.azure.com/schemas/2015-01-01/deploymentTemplate.json#",
+	"contentVersion": "1.0.0.0",
+	"parameters": {
+		"factoryName": {
+			"type": "string",
+			"metadata": "Data Factory name"
+		},
+		"AzureBlobStorage1": {
+			"type": "string"
+		}
+	},
+	"variables": {
+		"factoryId": "[concat('Microsoft.DataFactory/factories/', parameters('factoryName'))]"
+	},
+	"resources": [
+		{
+			"name": "[concat(parameters('factoryName'), '/DistinctRows')]",
+			"type": "Microsoft.DataFactory/factories/pipelines",
+			"apiVersion": "2018-06-01",
+			"properties": {
+				"description": "Many examples of shareable data flows for distinct rows and deduping data",
+				"activities": [
+					{
+						"name": "DistinctRows",
+						"type": "ExecuteDataFlow",
+						"dependsOn": [],
+						"policy": {
+							"timeout": "7.00:00:00",
+							"retry": 0,
+							"retryIntervalInSeconds": 30,
+							"secureOutput": false,
+							"secureInput": false
+						},
+						"userProperties": [],
+						"typeProperties": {
+							"dataflow": {
+								"referenceName": "DistinctRowsAll",
+								"type": "DataFlowReference"
+							},
+							"integrationRuntime": {
+								"referenceName": "dataflowcluster",
+								"type": "IntegrationRuntimeReference"
+							}
+						}
+					}
+				],
+				"annotations": []
+			},
+			"dependsOn": [
+				"[concat(variables('factoryId'), '/dataflows/DistinctRowsAll')]"
+			]
+		},
+		{
+			"name": "[concat(parameters('factoryName'), '/DistinctRowsAll')]",
+			"type": "Microsoft.DataFactory/factories/dataflows",
+			"apiVersion": "2018-06-01",
+			"properties": {
+				"description": "Distinct Rows using fuzzy, key, all cols",
+				"type": "MappingDataFlow",
+				"typeProperties": {
+					"sources": [
+						{
+							"dataset": {
+								"referenceName": "MoviesD2",
+								"type": "DatasetReference"
+							},
+							"name": "MoviesCSV"
+						}
+					],
+					"sinks": [
+						{
+							"dataset": {
+								"referenceName": "folderout",
+								"type": "DatasetReference"
+							},
+							"name": "OutputDistinctData"
+						}
+					],
+					"transformations": [
+						{
+							"name": "DistinctRows"
+						},
+						{
+							"name": "RowCountDistinct"
+						},
+						{
+							"name": "OriginalData"
+						},
+						{
+							"name": "RowCountOrig"
+						},
+						{
+							"name": "DistinctAllCols"
+						},
+						{
+							"name": "FuzzyMatch"
+						},
+						{
+							"name": "RowCountAll"
+						},
+						{
+							"name": "RowCountFuzzy"
+						}
+					],
+					"script": "source(output(\n\t\tmovie as string,\n\t\ttitle as string,\n\t\tgenres as string,\n\t\tyear as string,\n\t\tRating as string,\n\t\tRottenTomato as string\n\t),\n\tallowSchemaDrift: true,\n\tvalidateSchema: false) ~> MoviesCSV\nMoviesCSV aggregate(groupBy(movie),\n\teach(match(name!='movie'), $$ = first($$))) ~> DistinctRows\nDistinctRows aggregate(rowcount_agg = count(1)) ~> RowCountDistinct\nMoviesCSV select(mapColumn(\n\t\tmovie,\n\t\ttitle,\n\t\tgenres,\n\t\tyear,\n\t\tRating,\n\t\tRottenTomato\n\t),\n\tskipDuplicateMapInputs: false,\n\tskipDuplicateMapOutputs: false) ~> OriginalData\nOriginalData aggregate(rowcount_orig = count(1)) ~> RowCountOrig\nMoviesCSV aggregate(groupBy(mycols = sha2(256,columns())),\n\teach(match(true()), $$ = first($$))) ~> DistinctAllCols\nMoviesCSV aggregate(groupBy(colsfuzzy = sha2(256,movie,year,soundex(title))),\n\teach(match(true()), $$ = first($$))) ~> FuzzyMatch\nDistinctAllCols aggregate(rowcountall = count(1)) ~> RowCountAll\nFuzzyMatch aggregate(rowcountfuzzy = count(1)) ~> RowCountFuzzy\nDistinctRows sink(allowSchemaDrift: true,\n\tvalidateSchema: false,\n\tpartitionBy('hash', 1)) ~> OutputDistinctData"
+				}
+			},
+			"dependsOn": [
+				"[concat(variables('factoryId'), '/datasets/MoviesD2')]",
+				"[concat(variables('factoryId'), '/datasets/folderout')]"
+			]
+		},
+		{
+			"name": "[concat(parameters('factoryName'), '/MoviesD2')]",
+			"type": "Microsoft.DataFactory/factories/datasets",
+			"apiVersion": "2018-06-01",
+			"properties": {
+				"linkedServiceName": {
+					"referenceName": "[parameters('AzureBlobStorage1')]",
+					"type": "LinkedServiceReference"
+				},
+				"annotations": [],
+				"type": "DelimitedText",
+				"typeProperties": {
+					"location": {
+						"type": "AzureBlobStorageLocation",
+						"fileName": "moviesDB.csv",
+						"folderPath": "SampleData",
+						"container": "mycontainer"
+					},
+					"columnDelimiter": ",",
+					"escapeChar": "\\",
+					"firstRowAsHeader": true,
+					"quoteChar": "\""
+				},
+				"schema": [
+					{
+						"name": "movie",
+						"type": "String"
+					},
+					{
+						"name": "title",
+						"type": "String"
+					},
+					{
+						"name": "genres",
+						"type": "String"
+					},
+					{
+						"name": "year",
+						"type": "String"
+					},
+					{
+						"name": "Rating",
+						"type": "String"
+					},
+					{
+						"name": "RottenTomato",
+						"type": "String"
+					}
+				]
+			},
+			"dependsOn": []
+		},
+		{
+			"name": "[concat(parameters('factoryName'), '/folderout')]",
+			"type": "Microsoft.DataFactory/factories/datasets",
+			"apiVersion": "2018-06-01",
+			"properties": {
+				"linkedServiceName": {
+					"referenceName": "[parameters('AzureBlobStorage1')]",
+					"type": "LinkedServiceReference"
+				},
+				"annotations": [],
+				"type": "DelimitedText",
+				"typeProperties": {
+					"location": {
+						"type": "AzureBlobStorageLocation",
+						"folderPath": "output/demoout1",
+						"container": "mycontainer"
+					},
+					"columnDelimiter": ",",
+					"escapeChar": "\\",
+					"firstRowAsHeader": false,
+					"quoteChar": "\""
+				},
+				"schema": []
+			},
+			"dependsOn": []
+		}
+	]
+}
\ No newline at end of file
diff --git a/templates/Distinct Rows All/manifest.json b/templates/Distinct Rows All/manifest.json
new file mode 100644
index 0000000..bf2d3b9
--- /dev/null
+++ b/templates/Distinct Rows All/manifest.json	
@@ -0,0 +1,28 @@
+{
+	"name": "Distinct Rows All",
+	"description": "Many examples of shareable data flows for distinct rows and deduping data",
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+	"icons": [
+		"ExecuteDataFlow",
+		"DelimitedText",
+		"DelimitedText"
+	],
+	"requires": {
+		"linkedservices": {
+			"AzureBlobStorage1": {
+				"supportTypes": [
+					"AzureBlobStorage"
+				]
+			}
+		}
+	},
+	"documentation": "http://youtu.be/QOi26ETtPTw?hd=1",
+	"author": "dipak.giri@gauri.com",
+	"annotations": [
+		"data flows"
+	],
+	"services": [
+		"Azure Data Factory"
+	],
+	"categories": []
+}
\ No newline at end of file