How an Innovative New Platform Will Optimize Your Data Science Experience

Data science is driven by the marriage between great code and strong analytical thinking. In that intersection lies innovation. 

We wanted to put powerful AI and Machine Learning features into the hands of the data scientists and programmers that can push data science further.

We built Digital Hub™.

Digital Hub™ is an innovative data science platform built to give data scientists, programmers, and subject matter experts (SME) real, user-friendly access to the incredibly powerful data science tools and technologies out there.

The platform’s modular, integrated system of constantly evolving, actively maintained open-source tools and technologies fundamentally enables the streamlined creation of end-to-end enterprise-grade data science solutions. From data manipulation to data visualization, each tool in this stack has been chosen and curated meticulously. It nourishes a community of users that are actively engaged in the utilization of cutting-edge data science approaches to solve real world, complex, multifaceted problems. 

It is designed to be continuously upgradable. It is a compilation of cutting-edge, primarily open source, software applications organized into containers and deployed onto a scalable cloud infrastructure. The platform can incorporate any number of applications and scale on demand.

Digital Hub™ sources the best applications available for each aspect of the data science workflow, unifies the data flow, and makes it available to its users. This ensures that disparate applications that are the gold standard for certain aspects of data science are streamlined into a singular user interface. This system architecture saves the user from cumbersome setup requirements of each application and enables seamless user experiences through a streamlined data flow. 

The modular backend system of Digital Hub™ allows incorporating as many different technologies as possible and scaling compute. It is a well-maintained, constantly evolving solution that grows with your needs. Despite the existence of a diverse stack, there is a connection between each component of the tech stack and the data. Data is de-coupled from the technologies in a centralized storage, allowing for rapid scaling and integration with new technologies.

What does current access to technology and data science tools look like?

• Integration and version updates are difficult and time-consuming.

• Current systems are disparate, making the data science workflow tedious.

• Collaborating with the team is difficult and hinders solution development.

• It is time-consuming to select the best tools for data science needs.

• Limited processing power can hinder development success.

• Learning resources for all incorporated tools are scattered and time-consuming to find.

Digital Hub™ was the answer to problems our data science team was forced to deal with. We created this in-house platform, optimized it, and turned it into the dream tool we’ve been looking for. That platform is what we’re thrilled to share with the wider data science community.

A data science platform should be a place where you can access the best tools for all things data science.

Components:

• Scalable cloud-based architecture: We utilize leading open-source, scalable cloud infrastructure that allows for the concurrent usage of multiple servers.

• Containerized applications: Digital Hub™ functions through containers that are standalone, executable packages of software that can host an application and all of its requirements. 

• Digital Hub™ Recommendation engine: The recommendation engine creates a personalized user environment dependent on the user’s project nature and requirements.

• Project-based environments