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