Big Data Science adoption trend can be summarized as such.
Datalayer targets 3 types of users who will create and use cost effective clusters of size they need without prior IT skills.
As a user, you are looking for agile and low cost iterations during your Data Science Project.
The typical stakeholders of the project are the
Data Scientist or a
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.
Kuber CLIto create the Kubernetes cluster and deploy the needed Applications. You also get the
Kuber UIWEB user interface if you prefer fancy screens. This is achieved in
Data Studioto 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).
We rely on external authentication to better integrate into the end-user ecosystem. Depending on your category, we recommend the following authentication mechanism.
|CATEGORY||GOOGLE AUTH||MICROSOFT AUTH||TWITTER AUTH|
|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|