Big data management is now easier with Salesforce Dx
Salesforce has been on top of the marketing software and CRM domain for a long time now. In 2016, following their Dreamforce Conference, the thought leaders introduced extensive changes to the platform. This gradually amends the face of marketing platform-based application development, as we know it. Salesforce is here in a new avatar The new form is SalesforceDx. This embraces quite a few new concepts. Source control management, scripting and continuous integration of data are now becoming an integral part of the Salesforce developer networks. It is out to set a new way of developing, deploying and upgrading e-commerce and data management apps across the world. It will enable source-driven code development, promotion of code continuously from source to production and automated testing. These were foreign to all Salesforce developers before 2017. What is the aim of Salesforce Dx? According to Wade Wegner, “The aim is to completely externalize the metadata and the source of the user’s Salesforce environment.” Test data, test configurations and metadata from source code, all play a significant role in the shape of a company profile. It is more than just big data now. More companies are now looking for a composable application that can understand customer interaction along with micro-service management. Salesforce is gradually becoming more diverse. How important is Heroku Flow in Salesforce Dx? The newer version of Salesforce still works on the Heroku platform. All apps based on this CRM preferably use the same platform. Users now get the luxurious experience of continuous integration and up gradation tools that this platform brings. Salesforce Dx depends on the Heroku Flow for functioning. Four principal components also help with machine learning and big data. While three have been out and about for years, the fourth one came in 2016, and it is still relatively new for most users. Heroku pipelines: These are a way of organizing Heroku apps that share the same codebase. The users find a way to review, develop and produce an environment for providing excellent support, management and visualization of the continuous delivery. This creates a visual platform for managing the enormous quantities of big data flowing in every moment. Review Apps: This component enables the user to discuss, propose and decide whether they want to merge changes into their code bases. For apps connected to GitHub, Heroku can run temporary auto tests on a unique URL per open pull request. Github integration: Github Integration allows you to connect your repo to any Heroku app. You can do this manually or automatically while you are on Salesforce Dx. Every deploy shows you the difference between the current release and the previous commit. Just go to the Activity Tab of the app, on the Heroku dashboard and check the performance. Heroku CI: This is the newest addition to the Heroku flow of new Salesforce version. The Continuous Integration offers smooth integration with third party tools like Jenkins. It can complement the method of running automated tests against your current code. It is the most necessitous part of big data management and analysis based on Salesforce. Salesforce is becoming synonymous with e-commerce big data management. With the addition of new tools, Salesforce has become more amicable towards application development and big data analysis.
Salesforce has been on top of the marketing software and CRM domain for a long time now. In 2016, following their Dreamforce Conference, the thought leaders introduced extensive changes to the platform. This gradually amends the face of marketing platform-based application development, as we know it. Salesforce is here in a new avatar The new […]
Salesforce has been on top of the marketing software and CRM domain for a long time now. In 2016, following their Dreamforce Conference, the thought
["salesforce crm"]
["big data", "Go", "machine learning", "AI", "Git", "Aim", "salesforce crm", "ViT", "GAN", "GitHub", "R"]
["AI", "machine learning", "Aim", "R", "Go", "Git", "GitHub", "big data", "GAN", "ViT"]
Sujain thomas is a technical consultant, working for many leading technology corporate as well as third-party service providers. She is also an expert in remote DBA Oracle administration and used to publish user articles in blogs and websites.