KNOWAGE is the open source analytics and business intelligence suite that allows you to combine traditional data and big/cloud data sources into valuable and meaningful information. 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 two main modules and four additional plugins that can be combined 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 for KNOWAGE.
| :books: Documentation | :page_facing_up: Site | :whale: Docker Hub | :dart: Roadmap |
Name | Description | |
---|---|---|
Smart Intelligence | The usual business intelligence on structured data, but more oriented to self-service capabilities and agile prototyping | |
Enterprise Reporting | To produce and distribute static reports | |
Location Intelligence | To relate business data with spatial or geographical information | |
Performance Management | To manage KPIs and organize scorecards, to monitor your business in real-time | |
Custom Analytics | To add what-if capabilities e take full advantage of R/python embedding possibilities | |
Smart Data | To combine Solr index with other data sources and provide faceted views and full text search |
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:
This repository contains the source code of the Community Edition.
Information about how to install KNOWAGEis 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.
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:
The official documentation is available at Read the Docs.
Please visit the project website for information about the Enterprise Edition.
To build KNOWAGE you need:
N.B.: You need to add the paths containing your java
, node
and npm
commands to your PATH
environment variable: see the official documentation of your operating system.
The main project is knowage-ce-parent
and from within that directory you need to launch:
mvn package
At the end of the build you will find all the WAR files at the following paths:
knowage/target/knowage.war
knowage-api/target/knowage-api.war
knowage-vue/target/knowage-vue.war
knowagebirtreportengine/target/knowagebirtreportengine.war
knowagecockpitengine/target/knowagecockpitengine.war
knowagecommonjengine/target/knowagecommonjengine.war
knowagedataminingengine/target/knowagedataminingengine.war
knowagegeoreportengine/target/knowagegeoreportengine.war
knowagejasperreportengine/target/knowagejasperreportengine.war
knowagekpiengine/target/knowagekpiengine.war
knowagemeta/target/knowagemeta.war
knowageqbeengine/target/knowageqbeengine.war
knowagesdk/target/knowagesdk.war
knowagesvgviewerengine/target/knowagesvgviewerengine.war
knowagetalendengine/target/knowagetalendengine.war
knowagewhatifengine/target/knowagewhatifengine.war
There is no need to do anything in order to build KNOWAGE-Python module: you can just take the source code and run it as a standalone program (refer to the official docs: https://knowage-suite.readthedocs.io/en/7.4/installation-guide/python-installation.html).
To run tests, type
mvn test -DskipTests=false
from knowage-ce-parent
folder.
This project is tested with Browserstack.
AGPL © 2021 Engineering Ingegneria Informatica S.p.A.