Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
An end-to-end system govern-by-value Data Excellence Management System(c), (DEMS), is a web-based multilingual solution (on-premises or cloud) that uses context intelligence based on semantics and artificial intelligence techniques to allow organisations to automate data governance and business excellence. It also helps to reduce operational costs by reducing operational costs.
DEMS facilitates a factual, value-driven collaboration that engages all levels of end-users in the ultimate value creation. It helps organisations manage their data policies and comply with evolving regulations such as FINMA or GDPR.
DEMS is a measure of the maturity of your organization's functions and resources. It establishes accountability throughout the organisational structure. It also links data assets to value flows to predicatively guide business strategies.
Description
Simplifying feature flags in Java allows for dynamic enabling and disabling of features without the need for redeployment. This system enables the implementation of various code paths through the use of predicates that are evaluated at runtime, facilitating conditional logic (if/then/else). Features can be activated not only by flag values but also through role and group access management, making it suitable for practices like Canary Releases. It supports various frameworks, starting with Spring Security, and permits the creation of custom predicates utilizing the Strategy Pattern to determine if a feature is active. Several built-in predicates are available, including white/black lists, time-based conditions, and expression evaluations. Additionally, it enables connection to external sources like a Drools rule engine for enhanced decision-making processes. To maintain clean and readable code, it encourages the use of annotations to avoid nested if statements. With Spring AOP, the target implementation is determined at runtime, influenced by the status of the features. Each execution of a feature involves the ff4j evaluating the relevant predicate, which allows for the collection of events and metrics that can be visualized in dashboards or usage trends over time. This approach not only streamlines feature management but also enhances the monitoring and analytics capabilities of your applications.
API Access
Has API
API Access
Has API
Integrations
Amazon DynamoDB
Apache HBase
ArangoDB
Couchbase
Docker
Drools
Eureka ERP
HashiCorp Consul
Hazelcast
Ignite
Integrations
Amazon DynamoDB
Apache HBase
ArangoDB
Couchbase
Docker
Drools
Eureka ERP
HashiCorp Consul
Hazelcast
Ignite
Pricing Details
75000/per domain/per year
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Global Data Excellence
Founded
2007
Country
Switzerland
Website
www.globaldataexcellence.com
Vendor Details
Company Name
FF4J
Website
ff4j.org
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Product Features
Feature Management
A/B Testing
Entitlement Management
Feature Alerts
Feature Flag / Toggle
Feature Rollout Management
KPI Monitoring
Kill Switch
Multivariate Testing
Product Experimentation
Whitelist Creation