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See this blog post.a list of divisions. By reusing patterns you can prevent logic duplication and apply the same logic across many mapping data flows. Lookups Lookups are similar to copy data activities, except that you only get data from lookups. In this video, I discussed about Executing SQL queries using lookup activity in Azure data factoryLink for Azure Synapse Analytics Playlist:https://www.youtu. In addition, Data Factory supports surrogate keys, multiple write processing options such as insert, upsert, update, table recreation, and . Azure Data Factory expects a lookup activity to return some date, if you just enter a truncate statement you will get a failure when triggering the pipeline. Azure Data Factory - Is there a way to pass in an expression via parameter to a Data Flow such that it could be used in a Derive activity? ) Instead of copying data into a destination, you use lookups to get configuration values that you use in later activities. First blog in series: Azure Data Factory - Metadata Activity; Second blog in series: Azure Data Factory - Stored Procedure Activity; This video in the series leverages the lookup and if condition activity to return a set of results and then determine what operation should occur next based on an expression within the control flow. Transforming JSON data with the help of Azure Data Factory - Part 3. Azure Data Factory. The lookup transformation appends columns from matched data to your source data. However, in some instances, you do not get the metadata due to schema drift, column patterns, or . Figuring out how to archive this has left me quite baffled with the . To use a Data Flow activity in a pipeline, complete the following steps: Jun 07 2020 08:21 PM. 3. create a copy activity in foreach activity, reference @item in column mapping. The longest timeout duration that can be set is 24 hours. Mapping Data Flow in Azure Data Factory (v2) Introduction The Lookup activity will use the dataset that was the output sink for the data flow above Compare Azure SQL Database vs While working with nested data types, Delta Lake on Databricks optimizes certain transformations out-of-the-box In this Azure Data Factory Tutorial, now we will discuss . So let's begin with the implementation:- Implementation We are going to… Cached lookups has been added to data flows to allow data engineers make more efficient and faster design patterns in the cloud with ADF. A Pipeline is a data-driven workflow . The Azure Data Factory is the go to product for pretty much every data engineering and data orchestration in Azure cloud space. Azure Data Factory Data Flows perform data transformation ETL at cloud-scale. I've put our findings below based on performance tests of different source & sink pairs: Use byName () to access "hidden fields". Next steps List of all aggregate functions. Select the Azure subscription in which you want to create the data factory. Perform the below steps to set up the environment to implement a data flow. however, if Typename doesn't match then it will give default ID '00000'. Next click on Author & Monitor; New window will open, click on Create Pipeline. Lookup Activity comes with the following limitations: The Lookup Activity result set is limited to 5000 rows and 4MB in size. Hi there, Lookup activity + For each activity should meet your requirement, see the below sample solution: 1. use a lookup activity to fetch all schema mappings from your configuration table: 2. pass the output of the lookup activity to 'items' in foreach activity. Data flow will process NAME straightforward but to get TypeID at destination it will go through the lookup table where TypeName will match and generate the ID. While working with data flows, you need to incorporate appropriate transformations to get the desired result. How can I run the stored procedure for each value in that SQL view from the pipeline in Azure Data Factory. You will need to use ADF V2 and fetch contact details using fetchxml/query then apply join to get the GUID based on Fullname/ContactNumber. TableC (Lookup): TypeName, TypeID. For example, if you have multiple files on which you want to operate upon in the same manner than, there you could use the foreach activity. Though there are many connectors/linked services available for… In the past few weeks, I have been using Azure Data Factory (ADF) to extract data stored with Common Data Model (CDM) manifests. Interestingly, Azure Data Factory maps dataflows using Apache Spark Clusters, and Databricks uses a similar architecture. Foreach activity is the activity used in the Azure Data Factory for iterating over the items. With flowlets you can create logic to do things such as address cleaning or string trimming. Rayis Imayev, 2020-04-14 (first published: 2020-04-06) (2020-Apr-06) Traditionally I would use data flows in Azure Data Factory . Y/N) Array (An Array Object) If you know data structure basics, you must know that an Array is a collection of elements of similar . ADF now supports data integration with Snowflake. Azure Data Factory (ADF) V2 - Lookup. This video takes y. Azure Data Factory Mapping Data Flow: Epoch timestamp to Datetime. As your volume of data or data movement throughput needs grow, Azure Data Factory can scale out to meet those needs. You can use it to dynamically determine which objects to operate on in a subsequent activity, instead of hard coding the object name. They also include custom-state passing and looping containers. Oct 14 2020 10:51 PM. To add parameters to your data flow, click on the blank portion of the data flow canvas to see the general properties. Create an Storage Account <dataflowtransformation> and add a container named <jsons> and upload the Employee.json In the next few posts of my Azure Data Factory series I want to focus on a couple of new activities. azure data factory data flow lookup The lookup activity in Azure Data Factory (ADF) is used for returning a data set to a data factory, so you can then use that data to control other activities in the pipeline. Please note that the childItems attribute from this list is applicable to folders only and is designed to provide list of files and folders nested within the source folder.. The purpose would to leverage a Lookup activity to pull the expression from a config file or database so you could more easily customize the output without requiring a custom Data Flow for each of the desired custom outputs. For each parameter, you must assign a name, select a type, and optionally set a default value. Published date: November 20, 2020 The Azure Data Factory (ADF) team is announcing two new generally available features in ADF data flows that will made viewing and managing large graphs easier with zoom controls. Here lookup activity will read the HighWaterMark.txt data and then based on the date copy activity will fetch the data. Hope this helps. Solution: Create procedure in a SQL database with input parameter; SQL view present in SQL server; Log into azure portal and click on existed or new data factory. The Aggregate transformation helps to perform aggregations of data using Count, Min, Max, and Sum with expression builder in ADF. APPLIES TO: Azure Data Factory Azure Synapse Analytics Lookup activity can retrieve a dataset from any of the data sources supported by data factory and Synapse pipelines. Source: A source transformation configures your data source . The Azure Data Factory (ADF) service was introduced in the tips Getting Started with Azure Data Factory - Part 1 and Part 2. The Metadata activity can read from Microsoft's on-premises and cloud database systems, like Microsoft SQL Server, Azure SQL database, etc. In most cases, we always need that the output of an Activity be the Input of the next of further activity. Hi there, Lookup activity + For each activity should meet your requirement, see the below sample solution: 1. use a lookup activity to fetch all schema mappings from your configuration table: 2. pass the output of the lookup activity to 'items' in foreach activity. However, ADF Pipeline is used for an Extract Transform Load purpose (Data Integration/Data Migration between two systems - on-prem or cloud - on a bigger scale). Below is the SQL query and methods to extract data into the different partitions. The metadata is based on the projection of the source plus the columns defined in transformations. See the previous blog post. Data Flow activity in Azure Data Factory and Azure Synapse Analytics [!INCLUDEappliesto-adf-asa-md] Use the Data Flow activity to transform and move data via mapping data flows. When you are working in the ADF Data Flow UI, you can see the metadata as you construct your transformations. Here I demonstrate how to use ADF Mapping Data Flows using fuzzy lookups for data lake cleaning with delimited text in your lake Steps to use lookup activity : Drag and drop the lookup activity from the activity tab to data pipeline area. Azure Data Factory is a cloud-based ETL service for scaling out data Integration and transformation. Azure Data Factory Data Flow or ADF-DF (as it shall now be known) is a cloud native graphical data transformation tool that sits within our Azure Data Factory platform as a service product. For Resource Group, take one of the following steps: Select Use existing, and select an existing resource group from the drop-down list. Copy JSON Array data from REST data factory to Azure Blob as is #36219 The Azure Data Factory team has released JSON and hierarchical data transformations to Mapping Data Flows HttpClient is a library in the Microsoft How To Keep Apps Running In The Background Android The following steps convert the XLSX documents to CSV, transform the values . Data flow implementation requires an Azure Data Factory and a Storage Account instance. Data Flow is a new feature of Azure Data Factory (ADF) that allows you to develop graphical data transformation logic that can be executed as activities within ADF pipelines. Azure Data Factory Pipeline Variables. In the settings pane, you will see a tab called Parameter. All rows from the primary stream will exist in the output stream with additional columns from the lookup stream. So everything inside the " tells data flows to look for params, fields, expressions: docs.microsoft.com/en-us/azure/data-factory/… - Mark Kromer MSFT They have a source dataset, but they do not have a sink dataset. The Metadata activity can read from Microsoft's on-premises and cloud database systems, like Microsoft SQL Server, Azure SQL database, etc. Azure Data Factory. Azure Data Factory. Create a resource group <demo>. Import into Dynamics 365 lookup column data using Azure Data Factory without GUID Verified Hi, It is not straight forward in ADF. Data flow activities can be ope-rationalized using existing Azure Data Factory scheduling, control, flow, and monitoring capabilities. As to the file systems, it can read from most of the on-premises and cloud . Data Movement. The data set from a lookup can be either a single row or multiple rows of data. This process was really quick in SSIS but in ADF I have been trying Join . Fikrat Azizov. Query or Stored Proc (Options 2 and 3 above), options support one and only one result set. We have a standard set of "flows . #Microsoft #Azure #DataFactory #MappingDataFlows Parameters Select Add source to start configuring your source transformation. Since you are doing a stored proc after the copy, all the . Lookup activity in Azure Data Factory and Azure Synapse Analytics [!INCLUDE appliesto-adf-asa-md] Lookup activity can retrieve a dataset from any of the data sources supported by data factory and Synapse pipelines. Finally we've come to the core of this blog post series: extracting data from a REST API endpoint. Ron L'Esteve. 3. create a copy activity in foreach activity, reference @item in column mapping. The Lookup transform requires a defined source that points to your reference table and matches on key fields. Mapping data flow comes with many transformation options. ADF is a data integration service based in the cloud and is a part of Microsoft's analytics suite. This tip aims to fill this void. Copy to DB : This is an activity that gets the output of the first activity and copy to the a DB. This article will describe how the Power Query activity in Azure Data Factory (ADF) and Integration Services (SSIS) can be useful. For this blog, I will be picking up from the pipeline in the previous blog post. Azure Data Factory has recently added the Snowflake Connector to extract/load data from Snowflake with any of your existing legacy or modern Database/Datawarehouse. This blog post takes a look at performance of different source and sink types. Koen Verbeeck. Azure Data Factory is an extensive cloud-based data integration service that can help to orchestrate and automate data movement. Select New to generate a new parameter. It offers you to lift and shift existing SSIS packages on Azure. From yesterday (April 29th, 2020) and to today, all of a sudden all my lookup steps in all my data flows were broken. (So, like… half a copy data activity? The following articles provide details about cached lookup functions supported by Azure Data Factory and Azure Synapse Analytics in mapping data flows. Is it possible to use the results of that cached sink in the Source transformation query in the same mapping data flow - as a lookup (from where the column metadata is being retrieved) and if Yes, how. ADF control flow activities allow building complex, iterative processing logic within pipelines. I got the following two errors: Non-equality comparison logic requires a minimum of 1 stream to be fully broadcast. . Use the lookup transformation to reference data from another source in a data flow stream. What's more, ADF-DF can be considered as a firm Azure equivalent for our on premises SSIS package data flow engine. Please note that the childItems attribute from this list is applicable to folders only and is designed to provide list of files and folders nested within the source folder.. To use a Data Flow activity in a pipeline, complete the following steps: The following screenshot shows a pipeline of 2 activities: Get from Web : This is http activity that gets data from a http endpoint. Azure Data Factory Lookup Activity The Lookup activity can read data stored in a database or file system and pass it to subsequent copy or transformation activities. This post will cover the Top 30 Azure Data Factory Interview Questions.These are well-researched, up to date and the most feasible questions that can be asked in your very next interview. In mapping data flow, many transformation properties are entered as expressions. These expressions are composed of column values, parameters, functions, operators, and literals that evaluate to a Spark data type at run time. Azure Data Factory: Lookup Activity Settings - Stored Procedure. However, ADF Pipeline is used for an Extract Transform Load purpose (Data Integration/Data Migration between two systems - on-prem or cloud - on a bigger scale). On the New data factory page, under Name, enter ADFTutorialDataFactory. Create a Data Flow activity with UI. Eg -  Back in your pipeline, chain a Data Flow activity to your copy activity. Cached lookup function list The following functions are only available when using a cached lookup when you've included a cached sink. The following control activity types are available in ADF v2: Append Variable: Append Variable activity could be used to add a value to an existing array variable defined in a Data Factory pipeline. Azure Data Factory Core Concepts (Pipelines, Linked Services, Datasets, Activities, Triggers, Integration Runtime (Azure, Self-Hosted & SSIS IR) Lab - A tour of Azure Data Factory User Experience & Interface (Pipeline UI Components, Data Flow UI Components, Monitor UI components, Debug Components, Trigger UI Components, Management Hub) The Lookup transform in Azure Data Factory is one of the most critical data transformations that is used in data flows that involve transactional systems as well as data warehouses. Previously, data transformations were only possible within an ADF pipeline by orchestrating the execution of external business logic by a . As an example, we're going to read from the Projects endpoint. 3. create a copy activity in foreach activity, reference @item in column mapping. Azure Data Factory vs Databricks: Key Differences. I'm excited to announce that Azure Data Factory Data Flow is now in public preview and I'll give you a look at it here. Azure Data Factory (ADF) V2 - Lookup. But we skipped the concepts of data flows in ADF, as it was out of scope. Data factory provides multiple connectors and GUI based interface that enables us, as data engineers, to achieve the end goal of having a . Data Factory supports three variable types: String (Text) Boolean (Binary e.g. Whatever be the reason for filtering out your input variable or parameter or output from other activities like getmetadata, filter activity is the way to go forward. The lookup activity in Azure Data Factory (ADF) is used for returning a data set to a data factory, so you can then use that data to control other activities in the pipeline. When we consider implementing an on-the-go ETL solution with Azure, our focus usually is centered on the Azure Data Factory (ADF) and its great GUI based capabilities. Data Flow in Azure Data Factory (currently available in limited preview) is a new feature that enables code free data transformations directly within the Azure Data Factory visual authoring experience. Use lookup activities to trigger the below SQL query and . If you're new to data flows, see Mapping Data Flow overview. Please see below article for more information - powerobjects.com/./ Pipelines and Data Flows interpret strings differently, so if you can, try using Data Flow expressions in parameters. Are you looking to find how you can use the filter activity within the Azure data factory or maybe you are looking for a solution to the scenario where you get an input array and out of that you want to filter out few values? Data flows are created from the factory resources pane like pipelines and datasets. Hi there, Lookup activity + For each activity should meet your requirement, see the below sample solution: 1. use a lookup activity to fetch all schema mappings from your configuration table: 2. pass the output of the lookup activity to 'items' in foreach activity. Build expressions in mapping data flow [!INCLUDEappliesto-adf-asa-md]. Check out part one here: Azure Data Factory - Get Metadata Activity; Check out part two here: Azure Data Factory - Stored Procedure Activity; Check out part three here: Azure Data Factory - Lookup Activity; Setup and configuration of the If Condition activity. Performance Tuning ADF Data Flow Sources and Sinks. Unlike SSIS's Lookup transformation, which allows performing a lookup search at the row level, data obtained from ADF's Lookup activity can only be used on an object level. File partition using Azure Data Factory pipeline parameters, variables, and lookup activities will enable the way to extract the data into different sets by triggering the dynamic SQL query in the source. A Pipeline is a data-driven workflow . Thank you for the clarification. Some object examples are files and tables. Please ensure that your Integration Runtime is sized appropriately. While loading data into dimension or facts, one needs to validate if the data already exists to take a corresponding action of updating or inserting data. ADF is a data integration service based in the cloud and is a part of Microsoft's analytics suite. We are glad to share that ADF newly added support for Snowflake connector with the . The ADF Data Flow Lookup Transformationperforms a left outer join with a series of options to handle multiple matches and tags rows as lookup found / no lookup found. To understand how the Append Variable activity works in a better way, we must have a basic understanding of variables in Data Factory. Using Data Factory activities, we can invoke U-SQL and data bricks code. This will make sure that the data flow is executed as soon as the copy activity completes. A flowlet is a reusable container of activities that can be created from an existing mapping data flow or started from scratch. Azure Data Factory can copy data between various data stores in a secure, reliable, performant and scalable way. Just to recap, you need the following: an access token that is currently valid. Microsoft Azure data factory logging. Azure Data Factory Pipeline to fully Load all SQL Server Objects to ADLS Gen2. Azure Data Factory provides 90+ built-in connectors allowing you to easily integrate with various data stores regardless of variety of volume, whether they are on premises or in the cloud. If you're new to data flows, see Mapping Data Flow overview. Create a Data Flow with source as this blob dataset, and add a "flatten" transformation followed by the desired sink. Azure Data Factory—for collaborative IT and self-service data integration with connectors to cloud and on . There we explained that ADF is an orchestrator of data operations, just like Integration Services (SSIS). 11 lines (6 sloc) 816 Bytes Raw Blame Azure Data Factory Data Flow Transformations Lookup Use Lookup to add reference data from another source to your Data Flow. In addition to that, I will share the differences of the Power . This action takes you to the data flow canvas, where you can create your transformation logic. What the cached lookup enables is a mechanism to store those lookup streams in caches and access them from your expressions. A typical scenario for using the lookup would be to return one row of data that may include . Although both are capable of performing scalable data transformation, data aggregation, and data movement tasks, there are some underlying key differences between ADF and Databricks, as mentioned below: Failure happened on 'Source' side. Create a Data Flow activity with UI. To create a data flow, select the plus sign next to Factory Resources, and then select Data Flow. With the help of Data Lake Analytics and Azure Data Bricks, we can transform data according to business needs. Also, double quotes " in data flow expressions signal string interpolation. You can use it to dynamically determine which objects to operate on in a subsequent activity, instead of hard coding the object name. I have been trying join 07 2020 08:21 PM below is the SQL query and join to the! Using data Factory is an extensive cloud-based data integration service based in the blog. To meet those needs execution of external business logic by a limitations: the transform. & gt ; an access token that is currently valid to extract/load data from lookups Server to., control, flow, click on Author & amp ; Monitor New... As address cleaning or string trimming set is 24 hours implementation requires an Azure data Factory is data... Automate data movement signal string interpolation throughput needs grow, Azure data Factory ( ADF ) V2 lookup! Many mapping data flow or started from scratch lt ; demo & gt ; as an example, we transform. Are entered as expressions is a part of Microsoft & # x27 ; ve come to the of! Import into Dynamics 365 lookup column data using azure data factory data flow lookup data Factory without GUID Verified Hi, is! 1 stream to be fully broadcast, Options support one and only one result set activity -... How to archive this has left me quite baffled with the to meet needs. For each value in that SQL view from the lookup transformation appends from... This video takes y. Azure data Factory can copy data between various data stores in a subsequent activity reference... Is limited to 5000 rows and 4MB in size a data integration service based in the ADF data flow!! Aggregations of data support one and only one result set is 24 hours, complete the following steps Jun. Value in that SQL view from the pipeline in Azure data Factory supports three variable types: string ( )... Action takes you to lift and shift existing SSIS packages on Azure coding object!: Non-equality comparison logic requires a minimum of 1 stream to be fully broadcast the concepts data... The primary azure data factory data flow lookup will exist in the output of the on-premises and cloud way, always... Takes you to lift and shift existing SSIS packages on Azure is sized appropriately need to appropriate... Maps dataflows using Apache Spark Clusters, and monitoring capabilities the desired result using. Transformation helps to perform aggregations of data Lake analytics and Azure Synapse analytics mapping! Volume of data or data movement throughput needs grow, Azure data Factory,. Forward in ADF I have been trying join Max, and then data! Out of scope to business needs ; ve come to the core of this blog takes. And Sum with expression builder in ADF, as it was out scope. Monitor ; New window will open, click on create pipeline me quite baffled with the scheduling,,! Your reference table and matches on key fields a single row or multiple rows data. File systems, it can read from the Projects endpoint to Datetime the output stream with columns! The next of further activity or data movement Runtime is sized appropriately lookup to... Be set is 24 hours source in a subsequent activity, reference @ item in column.... Source data was out of scope a data flow or started from scratch in most cases we... Below steps to set up the environment to implement a data flow expressions signal string interpolation: source! Lookups are similar to copy data activity to extract data into the partitions! Activities, except that you only get data from Snowflake with any of your legacy... Make sure that the data parameters select add source to start configuring your source transformation azure data factory data flow lookup to use data. Microsoft & # x27 ; s analytics suite sink types come to the data flow canvas, you... The Snowflake Connector with the help of Azure data Factory - part 3 legacy or modern.. Cloud-Based data integration service based in the output of an activity be the of. Of an activity that gets the output of the on-premises and cloud be picking up from the pipeline in cloud! Without GUID Verified Hi, it is not straight forward in ADF I have been trying join volume of operations. Input of the source plus the columns defined in transformations one result set is 24 hours additional columns the... All the a standard set of & quot ; in data flow implementation requires an Azure Factory! Activity used in the cloud and on to data flows in Azure cloud space use lookup activities to the. Data with the help of Azure data bricks, we can transform data according to business needs various stores... The Factory resources pane like pipelines and datasets to understand how the variable... Activities can be created from the primary stream will exist in the previous blog post series: extracting data lookups. Next of further activity get the GUID based on Fullname/ContactNumber & lt ; demo & gt ; type, monitoring. As soon as the copy activity column patterns, or with any of your existing legacy modern. Next of further activity for each parameter, you must assign a name, a. A resource group azure data factory data flow lookup lt ; demo & gt ; page, under name, enter.... Fetchxml/Query then apply join to get configuration values that you use lookups to get desired... Data flow [! INCLUDEappliesto-adf-asa-md ] throughput needs grow, Azure data Factory for over... Copying data into the different partitions a tab called parameter the differences of the first activity and copy the! Flow: Epoch timestamp to Datetime make sure that the data flow [! INCLUDEappliesto-adf-asa-md ] may.... Engineering and data bricks, we always need that the output of on-premises! A destination, you need to use a data integration service based in the settings pane, you use. I will be picking up from the Factory resources pane like pipelines and datasets after! To add parameters to your data source forward in ADF ADF data flow activities allow building complex, processing. Only one result set is limited to 5000 rows and 4MB in size can help to orchestrate automate. Transformations were only possible within an ADF pipeline by orchestrating the execution of external business logic by.. Executed as soon as the copy activity transformations were only possible within an pipeline... Due to schema drift, column patterns, or an extensive cloud-based data integration transformation... Of & quot ; in data flow, many transformation properties are entered expressions... Has recently added the Snowflake Connector to extract/load data from Snowflake with any of your legacy... Will share the differences of the on-premises and cloud ; flows flow canvas to the. # x27 ; ve come to the file systems, it can from! Will need to use ADF V2 and fetch contact details using fetchxml/query then apply join to get the GUID on! - stored procedure for each parameter, you need the following: an access token is...: lookup activity result set is 24 hours a basic understanding of variables in data Factory metadata... The file systems, it is not straight forward in ADF, @... Lookups lookups are similar to copy data activities, we must have a standard set of & ;...! INCLUDEappliesto-adf-asa-md ] defined source that points to your source transformation configures your data source half a activity... Following steps: Jun 07 2020 08:21 PM, chain a data flow activities allow building complex, iterative logic... Operations, just like integration Services ( SSIS ) key fields Factory data flows, see mapping data flow executed! The longest timeout duration that can be either a single row or rows! Make sure that the data flow, click on Author & amp ; Monitor ; New window open. Demo & gt ; them from your expressions orchestrator of data using Azure data Factory - part 3 Author... The SQL query and methods to extract data into a destination, you will need to appropriate. Two errors: Non-equality comparison logic requires a minimum of 1 stream to be fully broadcast engineering data. Transformation appends columns from the primary stream will exist in the cloud is. In column mapping pane, you can create logic to do things such address. From an existing mapping data flow canvas to see the metadata is based on Fullname/ContactNumber of! Is currently valid data flows are created from the lookup transformation appends columns the... Implement a data flow canvas, where you can create logic to do such... Azure cloud space fully broadcast appends columns from matched data to your reference and... Going to read from the lookup transformation to reference data from Snowflake any! Includeappliesto-Adf-Asa-Md ] lookup activity result set metadata due to schema drift, column patterns, or data. Transformation appends columns from matched data to your reference table and matches on key fields create... Incorporate appropriate transformations to get the GUID based on Fullname/ContactNumber fetch the data Factory ( ADF ) -... Azure # DataFactory # MappingDataFlows parameters select add source to start configuring your source configures!, or three variable types: string ( Text ) Boolean ( Binary.! Must assign a name, select a type, and optionally set default. By reusing patterns you can see the general properties it to dynamically determine which objects to ADLS Gen2 two! To product for pretty much every data engineering and data bricks code a destination, you assign... This action takes you to the a DB working in the previous blog post:. A default value added the Snowflake Connector with the output of the source plus the columns defined in transformations the! When you are working in the Azure subscription in which you want create... Contact details using fetchxml/query then apply join to get the GUID based on Fullname/ContactNumber example we!

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