diego-fernandes / kylo

Kylo is a data lake management platform and framework for enabling scalable enterprise-class data lakes on Apache Hadoop and Spark. Kylo is licensed under Apache 2.0 and contributed by Think Big, A Teradata Company

Home Page:http://kylo.io

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

alt Kylo

Kylo offers a turn-key, enterprise-ready data lake solution on Hadoop and Spark that integrates best practices around metadata management, governance, and security gleaned from over Think Big's 150+ successful big data projects.

Visit http://kylo.io and unlock the power of Kylo today!

Quick Start

You can download a pre-configured sandbox and get started with Kylo in no time. To get started visit the Quick Start page.

Documentation

Please visit Kylo documentation to learn more.

Code Structure

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

About

Kylo is a data lake management platform and framework for enabling scalable enterprise-class data lakes on Apache Hadoop and Spark. Kylo is licensed under Apache 2.0 and contributed by Think Big, A Teradata Company

http://kylo.io

License:Apache License 2.0


Languages

Language:Java 63.2%Language:JavaScript 28.9%Language:HTML 5.6%Language:CSS 1.3%Language:Shell 0.4%Language:Scala 0.4%Language:PLpgSQL 0.1%Language:SQLPL 0.1%Language:FreeMarker 0.0%