eoda | data science core
Controlling analytics projects: flexible, performant, safe
Data Science Languages
By supporting the data science languages R, Julia and Python, we ensure a high level of transparency, flexibility and future-proofness. At the same time, the eoda | data science core allows you to work on a data science project across different teams in multiple languages.
With the eoda | data science core you benefit from a controlled and scalable environment in which scripts can be run reliably and at an optimal load balancing. Further agents allow for horizontal scaling and higher system performance.
Projects, Users, Rights
Different data sources, users and role management systems, analysis scripts and much more come together in one analytics project within the eoda | data science core. It minimizes error potential in the development and operation, takes care of the management and versioning of project resources and is responsible for controlling the execution of scripts. Manage your data science projects clearly and comprehensibly – with only one tool.
With its extensive and well-documented interface, the eoda | data science core can be expanded by any desired application. Integrate your analytics projects via REST-API into your company applications.
Management of Analysis Jobs
Monitoring and parametrization of the script execution, scheduling, dynamic load balancing and logging of script outputs: The eoda | data science core ensures the operationalization of the script execution in the business-critical environment.
eoda | data science core: operationalize data science projects
eoda | data science portal: data science in the daily business
Connect your company-internal know-how with data science by means of an individual portal and redefine the limits of conventional reporting: establish intuitive workflows which accompany the life cycle of the analyses.
With the combination of data science core and data science portal, you will be able to turn data science in the daily business into successful practice today.
More information on the eoda | data science portal.