AnalyseS
eoda | data science core
eoda | data science portal
Supported data science languages:
R
Python
Julia
Different interpreter versions on various distributed agents
Horizontal scaling
Distributed agents could be run on:
Docker or LXC container
Virtual machines
Physical machines
Cloud (PaaS, IaaS)
Consistency groups allow for traceable and reproducible results
Version control
Debug features
Workflows
Exploratory data analysis
Review, rating and evaluation of results
Job Management
eoda | data science core
eoda | data science portal
Monitored script execution
Scheduling
Dynamic workload management
Logging of script outputs
Parametrization of scripts
Security
eoda | data science core
eoda | data science portal
User and role management
Granular rights management
Connnection to authentication providers like Active Directory, LDAP,…
Multi Tenancy
Project Management
eoda | data science core
eoda | data science portal
Management of hierarchical project structures and resources, e.g. analysis scripts, folders, raw data or database connections
Configuration of the execution plan of an analysis (serial / parallel)
Expandability
and Integration
eoda | data science core
eoda | data science portal
Documented REST API
Integration of customer-specific modules into the Microservices architecture
Visualization
eoda | data science core
eoda | data science portal
Web modules
Chart modules
Table modules
Role based views (customizable)
Responsive design
Web content management
Data filter management