Data Solutions

 In Data Solutions, Next Data Engine, Software Development

We live in the age of data, everyone from construction companies to tech firms need some form of data integrated. Our goal is to change the term from integrate to composite. Every form of data solution is a composite of something, meaning you glue things together. This can be anything from downloading a set of contacts from your phone and saving it to cloud storage, or taking a database and analysing it.

The software industry has created many solutions that attempt to glue data and integrations together in a way that is accessible to end users. Unfortunately, this rarely works in practise because of the large variety of data types and integration requirements, end users are often left without the ability to perform a specific function that require. The first solution to this is to develop a new data solution for each of these edge case scenarios, however this is obviously impractical because developing entirely new applications is time consuming and costly.

The Next Data Engine provides a third answer to this problem. By leveraging the development speed and power of the Next Data Engine, organisations can create data solutions for their specific business problems quickly and at a reasonable cost.

The Next Data Engine facilitates this by providing a wide variety of generic functionality that is required by data solutions, allowing developers to focus on implementing these features for their data, rather than rewriting functionality. These features include graph technology, machine learning, automation, database integration and more generic functionality such as web applications (which allow data to be easily displayed to users), messaging system, distributed processing, job scheduling system, identity, micro services and components system.

The component system of the Next Data Engine makes the process of developing new data solutions more efficient. The Next Data Engine provides a set of base components that are understood by the engine itself. Because they are understood by engine, it can use these components to glue together data and processes. Developers can then extend these components to perform the specific tasks required by their data solutions, such as specific file systems or API interactions. This not only allows engine to handle your data solution, but can create high levels on internal abstraction within your solution, allowing developers to easily insert new functionality as required by end users.

In conclusion, by utilizing the Next Data Engine to develop data solutions organisations can create solutions with the specific functionality required for their business needs, without having to spend large amounts of time and money developing these solutions.

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