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Datta Holkar

Datta Holkar

We are living in an age where services are becoming increasingly customized, automated, and fast-paced. The day is not far when we will all be creating apps with a few clicks and tailoring them to our needs. The software development scenario is molding quickly to adapt to this change and enhance the speed of code generation.

Integrated platforms like MuleSoft are like a huge platter of software development solutions that help to create customized services. MuleSoft and its data programming languages are revolutionizing the industry by converting simple data into actionable resources. Data Weave is an important functional language in Mule applications that seamlessly transforms data from a simple format to a complex format. For example, a Data Weave script can convert a .CSV file into an array of complex JSON objects.

Data Weave is an extremely flexible language that incorporates common programming concepts. It supports different data structures like simple, complex, and composite and is designed to adapt to new data types. Developers immensely benefit from its features like pure functions, concise code, immutable variables, and many more.

The blog explains the journey of the inception of Data Weave and how beneficial it is for the developers.

Evolution

Back in the time of Mule 3 and the early days of Anypoint Studio, the first data mapping tool was born in the form of a UI backed by a third-party engine. Though Data Mapper was a great tool, it could not scale well against the increasing number of transformations use cases that the Mule customers faced. Thus, DataWeave 1.0 was introduced as an engine that could support simple use cases in a declarative way while giving users the full power of a language to handle their most complex requirements.

With DataWeave 2.0, the language took a big leap forward and was introduced as the expression language for Mule, becoming featured in every component requiring dynamism. The evolution of the language allowed Mule to venture into new domains: DataWeave was used to allow functional testing of APIs with the monitoring tool. At the same time, the Salesforce acquisition gave Mule the chance to embed DataWeave into new engines like Apex, and earlier in 2022, landed in Exchange with a complete software development lifecycle solution to develop libraries.

DataWeave

DataWeave evolved with the goal to have a single, simplified tool that could handle both JSON and XML, with all the complexities of the latter. The result was a canonical model that can represent any format, freeing developers from serialization concerns. With DataWeave, there is no need to research, understand, or troubleshoot the specific library for XML or CSV in your stack – it takes care of all the formatting for you. For a new format to gain popularity, we would just add a reader and writer to DataWeave, and all your existing data transformation logic would remain the same.

DataWeave was born with declarative syntax and the flexibility of a proper programming language. This also meant that, unlike other tools, robust tooling could be built on top of it.

DataWeave

Source: DataWeave

Understanding the DataWeave Library (Publish & Reuse)

The first step in creating a DataWeave library is to develop it. The Visual Studio Code plugin (Beta)1 allows you to get started quickly by guiding you through creating your library project and setting it up for you. It also allows you to quickly create modules and mappings, where you’ll have editing features such as autocompletion, inline documentation, type checking, quick fixes, refactors, and navigation.

Most importantly, the plugin supports debugging your code, so you can be assured you’ll have the tools you need to support your library users as they report issues. When it comes time to share your library with the world, the Maven plugin available in the Visual Studio Code plugin (Beta) will make deployment easy. You can simply get the dependency snippet and copy it into your application’s pom.xml file. Then, you can work with this library as you would any internal modules or mappings, importing what you need into your scripts and using them to streamline your development.

DataWeave with Browser

MuleSoft professionals, develop the code using Anypoint Studio, where they also work on the DataWeave transformation logic. Generally, the Studio needs to be installed through some local configuration, followed by creating a Mule Project, and defining the metadata in DataWeave, and the developer is ready to go.

What to do when Studio is not available? How to learn and practice DataWeave? How to have to open Studio, create a new Mule Project, add a DataWeave component, define the input metadata, and define the output metadata so one can finally practice the DataWeave language.

Answer to all these lies in one solution, online version of DataWeave!

Online DataWeave 2.0

We have a solution that one can start using right now: the Online DataWeave Playground! Check out what this tool looks like:

Online DataWeave 2.0

Click here to get to the online: DataWeave

DataWeave in Data-Centric Era

The present features of DataWeave are creating a profound impact on the lives of developers. In the evolving landscape, as DataWeave integrates with AI and ML to automate data transformation, we will experience exceptional results in terms of data processing.

DataWeave, with its comprehensive set of functionalities encapsulating a range of data transformations, has a key role to play in the ‘Data-Centric’ era. Streamlining data, deriving its insights, making informed decisions, and optimally utilizing it for the enterprise’s growth is what DataWeave is heading to.

DataWeave with V2

V2Solutions has been providing an extensive set of digital transformation services using state-of-art technologies. We have been leveraging the power of integrated software solutions to help our clients across various industries and deliver them the desired results.

With the best-skilled people and experience we provide MuleSoft and other Salesforce solutions seamlessly. Accelerated, automated, accessible, and accurate are the key attributes that come with our software solutions. The highest quality of deliverables from V2Solutions reinforces our customer-centric vision nurtured for past 2 decades.

To know more about our Salesforce solutions and value delivered to our clients, click here.

Sources

Datta Holkar

Datta Holkar

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