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 user’ requirements.
Knowage is now available on FIWARE Marketplace
as FIWARE-ready software enabler, being fully compliant with FIWARE
architecture and GEs. For more information check the FIWARE Marketplace entry
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 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.
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.
Knowage is open to external contributions. You can submit your contributions into this repository through pull requests.
Before starting, here there are a few things you must be aware of:
- This project is released with a Contributor Code of Conduct. By participating in this
project, you agree to abide by its terms.
- When you open a pull request, you must sign the
Individual Contributor License Agreement by stating in a comment
"I have read the CLA Document and I hereby sign the CLA"
- Please ensure that your contribution passes all tests. If there are test failures, you will need to address them
before we can merge your contribution.
The official documentantion is available at
Read the Docs.
Please visit the project website for information
about the Enterprise Edition.
To run tests, type
mvn test -DskipTests=false
from knowage-ce-parent folder.
AGPL © 2021 Engineering Ingegneria Informatica S.p.A.