Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apac
Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apac
Kylo is an enterprise-ready modern data lake management software platform for big data engines such as Teradata, Apache Spark, or Hadoop. Kylo enforces best practices around metadata management, governance, and security gathered from experience in over 150+ successful big data projects.
Visit http://kylo.io and unlock the power of Kylo today!
You can download a pre-configured sandbox and get started with Kylo in no time. To get started visit the Quick Start page.
Please visit Kylo documentation to learn more.
To raise issues with Kylo, please register and visit the Jira instance.
For support, questions can be asked on the Google Groups group.
The layout of code in the following subtrees follows particular reasoning described below:
| Subfolder | Description |
|---|---|
| commons | Utility or common functionality |
| core | API frameworks that can generally used by developers to extend the capabilities of Kylo |
| docs | Documentation that should be distributed as part of release |
| integrations | Pure integration projects with 3rd party software such as NiFi and Spark. |
| metadata | The metadata server is a top-level project for providing a metadata repository |
| plugins | Alternative and often optional implementations for operating with different distributions or technology branches |
| samples | Sample plugins, feeds, and templates, |
| security | Support for application security for both authentication and authorization |
| services | Provides REST endpoints and core server-side processing |
| ui | User Interface module for Kylo |
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