Knowage is the full capabilities open source suite for modern business analytics over traditional sources and big data systems. Its features, such as data federation, mash-up, data/text mining and advanced data visualization, give comprehensive support to rich and multi-source data analysis. The suite is composed of several modules, each one conceived for a specific analytical domain. They can be used individually as complete solution for a certain task, or combined with one another to ensure full coverage of userโ requirements.
This project is part of FIWARE. For more information check the FIWARE Catalogue entry for Context Processing, Analysis and Visualization.
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- Modules available
- Editions
- Install
- Usage
- Contributions
- Documentation
- More
- Quality Assurance
- Testing
- License
Knowage supports a modern vision of the data analytics, providing new self-service capabilities that give autonomy to the end-user, now able to build his own analysis and explore his own data space, also combining data that come from different sources.
Knowage is available on two versions:
- the community edition, with the whole set of analytical capabilities, it is part of the software stack managed by OW2 and the reference implementation of the Data Visualization GE in FIWARE (see the FIWARE catalogue entry for details), as SpagoBI was;
- the enterprise edition, provided and guaranteed directly from Engineering Group - the leading Italian software and services company - with a commercial offering and some facilities for the administrator.
This repository contains the source code of the Community Edition.
Information about how to install Knowage is available on official documentation on Read the Docs within Installation & Administration Manuals.
An installer for Windows and Linux environments is available on Knowage website within the download area.
A Dockerfile
is also available for your use - further information can be found here.
Information about how to use Knowage is available on official documentation on Read the Docs within User Guide and Functionalities sections.
Before start to contribute, please read and sign the Contributor License Agreement.
The official documentantion is available at Read the Docs.
Please visit the project website for information about the Enterprise Edition.
This project is part of FIWARE and has been rated as follows:
To run tests, type
mvn test -DskipTests=false
from knowage-ce-parent folder.
AGPL ยฉ 2020 Engineering Ingegneria Informatica S.p.A.