DataWeave is the important tool of Mulesoft. It is full-featured native frame work. DataWeave uses for querying and transformation of data .Transformation is from one one format to another. Usually the format of source system to new destination system. In this article you get idea about DataWeave transformation in MuleSoft. furthermore information on MuleSoft follow MuleSoft online training.
Data Weave transformation in MuleSoft
What is DataWeave ?
DataWeave is language for transformation of data and querying.therefore It includes connectivity layer and engine. It also contains data access layer that will index content.So, The data can be access binary format. DataWeave makes even the most complex data into simple format.
The DataWeave have lot of operators like Operators, Functions and Filters. It will also supports for JAVA and EDI. We use dw() Function for quick query of data and use it. So, They uses for payloads and Route Data.
DataWeave supports variety of transformations. Transformation is from simple one-one to More elaborate mapping. Almost The mapping includes normalization, grouping, joins and reduplication. It supports formats of XML,CSV,JSON,POJOS,MAPS etc. So, DataWeave is mostly integrated with data science. So, It is lightweight expression language. It is divided into two sections. maybe the two section are delimited by a dash separator. They two sections are Header and the body.
The DataWeave header has directives. They will define high level of information about transformation.The structure of header is with a sequence of lines. Due to They have their own directives. Maybe Some of them are DataWeave version, input and output sources. So, Namespace uses for import into your transform. And constants , functions are referenced throughout the body.
The body contains the output structure regardless of input. Finally, the output is described in standard DataWeave language. The data model of the output has three different types of data. They are Objects, Arrays and Simple literals. Maybe Objects is a Collection of key value pairs. Arrays represent a comma separated values.
DataWeave Transformation is very essential in every day activities. It plays a main role in Digitization process. We are using Anypoint Studio which is a GUI for building Mule. Anypoint studio is integration development Environment. So, It uses for designing and testing mule application also You can deploy the application and run on mule Server. DataWeave transformation in MuleSoft
Above is example of DataWeave mule application from CSV Format to XML Format. Here we have taken CSV as the input source. So, We can also convert JSON to XML format. therefore Each integration encounters successful transformation of data from one data type to another data type. Mulesoft is best example for dataWeave Transformations.
Our Goal is to Convert CSV File to XML File . There no need to install ANY POINT Studio. Initially use the file inbound connector to read the file. And Drag & Drop the transformer from Design to flow. Next Double click the component and set metadata. So, here Input is the CSV File and Output is XML. Then use another File out bound connector to store XML file. At last Execute MULE Application and check the console. In console You will Notice the successful Deployment of Mule Application. DataWeave transformation in MuleSoft
In this way Mule application is deployed. So, you can also get more information on Mule Application in OnlineItguru. Similarly You can also develop your own applications through Mulesoft online course. Probably They will help you deploy the applications in a simpler manner. DataWeave transformation in MuleSoft
It is good to have basic programming concepts in Java. And basics of information bases and servers. likewise if you have no idea also no problem. Finally, onlineitguru will guide you everything .They will help you to understand each and every concept clearly. So, You can also follow Mulesoft online training for important updates of mulesoft.