For who is Datalayer.

Datalayer Users

Big Data Science Adoption

Big Data Science adoption trend can be summarized as such.


Big Data Science Users

Datalayer targets 3 types of users who will create and use cost effective clusters of size they need without prior IT skills.

  1. Standalone Data Scientists.
  2. Small to medium analytics teams of data-driven business.
  3. Small analytics teams of non-data-driven business.

As a user, you are looking for agile and low cost iterations during your Data Science Project.

Data Science Projects

The typical stakeholders of the project are the Devops, a Data Scientist or a Business.

Kuber Who

You may have more than one hat (more than one profile) during the lifecycle of your Data Science project. For those 3 profiles, Datalayer solutions make life easier, more productive, cheaper and bring more business value.

  1. As Devops, you use the Kuber CLI to create the Kubernetes cluster and deploy the needed Applications. You also get the Kuber UI WEB user interface if you prefer fancy screens. This is achieved in Exploration and Alpha environments.
  2. As Data Scientists, you use the Data Studio to request cluster resources for a certain period of time. You explore and share insights in a visual way, in private or in public (e.g. on Twitter).
  3. As Business, you review the Data Scientist insights in their favorite environement like Microsoft Office 365, Twitter or Google.

User Authentication

We rely on external authentication to better integrate into the end-user ecosystem. Depending on your category, we recommend the following authentication mechanism.

Standalone Data Scientist Recommended
Small to medium analytics teams of data-driven business Recommended Recommended
Small analytics teams of non-data-driven business Recommended Recommended