Spaces are secure collaborative environments that easily bring people, tools, data, and models together within and between organizations, enabling safe opportunities to collaborate and create new products and data-based services. An innovation Space is a cloud environment provided on demand, with supporting data science tools and google cloud processing.

Spaces are designed for collaboration within a team and with the experts at CoreLogic. Collaboration between Spaces is also possible with code sharing capabilities within an organization. If several users are collaborating on a Space, each user will have their own personal data computing environment. While a Space is interactive, it can also run in the background, performing automatic updates.

Spaces provide full access to CoreLogic’s data products. The export of data products and intellectual property from these Spaces is regulated by user subscriptions. The owner of each Space has full control of the data and collaborators that are allowed in.

Your Space comes with a complete set of tools to help you write your code in your preferred language. We offer some blueprints of code (for example the use of CoreLogic’s Property Identifier, CLIP®); the platform’s SDK (software development kit) also provides the ability to connect with any of CoreLogic’s digital services.

Spaces provide a full-stack solution for the effective execution of data projects and project collaborations. Using a combination of industry-leading data security, configuration, deployment, and access management, Spaces provide the flexibility and security that you and your organization demand, all within a controlled framework.

A Space is accessed via a secure (virtual) desktop interface and includes:

  • Compute - On-demand compute allocated to each individual using the space.

  • Data products - Access to data products via a database interface or direct file access.

  • Tools - Pre-configured to begin accessing, transforming, analyzing and using the data assets contained within data products. SQL, Python or R code written in a Space can be converted into a Code Asset and used to create a new data product via a Task.

  • Users - optional collaborators can work on the same project using their own compute

Data within a Space can be shared between users and can be be used to create new data products:

  • <data product database> - Contains the contents of the tabular data product to which you have subscribed.

  • Collaborative Database - Used to securely share data between the users of a space.

  • Publish Database - Used to create a static data-related asset that can be used to create a new data product.