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Project Structure and Big Data Management with Salesforce DX - Classi Blogger

Project Structure and Big Data Management with Salesforce DX

Salesforce DX is meant to provide an all-new direction to the developer experience across the platforms. The major advantage is that developers from any platform or using any technology or tools can migrate to Salesforce DX without changing the tools and practices.

Each Salesforce DXprojects may have a unique source format, and a specific structure followed. In any project, the source of truth may use a unique set of files with unique file extensions other than those which you may have already accustomed to. Let’s explore the project structure with Salesforce DX development in a bit more detail.

It is very common that the metadata format sources remain so large and making it troublesome for the users to find out what they actually search for. If you are functioning as a developer in a team with a need to access and change the metadata in a team development environment, then there could be a need to deal with multiple mergers.

Now, Salesforce DX can effectively solve this problem by providing a standard shape to the source which will further break down the large source files to more digestible smaller units in the source format, which makes things easier to the developers and testers.

In a typical Salesforce DX project, one can see many custom objects and translations in the subdirectories. This model of source formatting will make it comfortable to find out what you are exactly looking for and also to make any changes as and when you want.

Static resources

In Salesforce development, all the static resources need to be in the directory as main/default/staticresources. You can use the force:source: push comment to do compress the archives of MIME types in the given project. It also support or.jar or .zip types. In this way, source files could also be integrated easily to the Salesforce DX projects.


While trying to convert the metadata formats to the source format, it is possible to create a unique XML file for every bit of it. Files with an XML market will also have the .xml extension. Here, an XML editor could be used to search for the source files. To sync it with the local projects, you can use a customized directory structure with custom objects in the Salesforce DX projects.

Traditionally, static resources used to get stored in the binary objects in files with .resource extension. Source formats should handle these static resources in various manners and support the IME types. For example, a .gif may be stored at the .gif directory and not with .resource extension. Storing files with their corresponding extensions, you can manage the file system better with the help of an editor.

Custom objects

As the need is to convert metadata file formats to source format, custom objects could be placed in the <package directory> at the main/default/objects folders. Each of it is with a subdirectory specifying the file type of custom objects. Parts of the custom objects may get extracted to the subdirectories as compactLayouts, businessProcesses, listViews, fieldSets, sharingReasons, recordTypes, webLinks, validationRule, etc. With this, the documents may be left inside various sub directories under the parent folder.

Big data management with Salesforce

There are many new tools embedded to Salesforce DX to take care of the source control, continuous integration, scripting, and continuous deployment etc. There has now become the crucial part of Salesforce developer networks which all are effectively leveraged by providers like to provide clients with a unique, user-friendly DX experience. This further paved to a new breed of development practices as well as an inclusive culture in terms of data management and e-com apps. As we have seen above, Salesforce DX puts forth a source-driven development approach with code promotion from source and test automation.

The objective of the latest Salesforce DX is to externalize the metadata and development environment for the users. You can easily test the configurations and metadata from source code itself. From the user developer point of view, it goes far beyond just big data management. Nowadays, organizations are on the lookout for customizable apps to fully understand customer interactionsand micro-service management. DX makes it more possible through diversification.

Heroku flow in Salesforce DX

Salesforce DX now works on the Heroku platform. Every app hosted on Salesforce now uses the Heroku platform, which could give a very user-friendly experience to all. DX users can enjoy the benefits of continuous integration and make use of the up-gradable tools coming packed with DX. DX also depends largely on the Heroku Flow for functioning.

Heroku pipelines

While working on Salesforce DX, it Heroku pipelines is an effective way to organize the Heroku apps as all of these share a common codebase. The users could get the advantage of easily developing, reviewing, and producing at a unique environment by enjoying excellent user support, data visualization, with continuous delivery. This will further create a visual platform also to help the users to manage the enormous volume of data as in case of big data in each minute.

Review apps

Review apps of Heroku Flow will let you decide the changes to be made into the codebase. For the apps which are connected to Git or GitHub, Heroku could run some automated tests on specified URLs based on the pull requests.

Github integrations

It will let users connect the reports to Heroku apps. This can be done manually with the use of automation techniques while working on DX. Each of these deployments will show you the differencesbetween the latest release and the previous version. You could also go to the Activity Tab on the Heroku app dashboard to keep track of the performance.

Continuous integration

This is one of the latest additions to Heroku Flow in the latest DX version. Continuous Integration, also represented as CI will let the users take a more user-friendly integration approach with the help of external tools like Jenkins. It will also compliment the test automation process. It could be a major part of big data management for instant analysis.

Along with the above, the users can also effectively take care of random data sampling, proper data model implementation, an appropriate level of data governance, and effectively construction and deployment of data models etc. on Heroku Flow.

Nirmal Anandh M
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Nirmal Anandh
Hi, this is Nirmal Anandh M alias Muthu Vinayagam from the "Temple City", Madurai. I am the Founder of this blog. My profession is, as a CEO in ATHIRA Web Services. It's about Work From Home Jobs, Affiliate Marketing, E-Publishing, Data Conversion and Data Entry Projects. you can connect with me @ Facebook, Twitter, Pinterest , LinkedIn, Flipboard, Medium and Youtube.

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