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Kylo is a data lake management software 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

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Think Big Data Lake Accelerator

The latest generation of Pipeline Controller represents a major revision to our Data Lake assets. Some features:

* Apache NiFi engine (vs. Spring Batch)
* Apache Spark for data ingest processing  
* Additional UI module oriented to Data Lake users
* Users can create "data feeds" through our UI (no-code!)
* Powerful ingest pipeline template that implements Think Big best practices

Wiki

R&D Wiki

Deployment Guide

To get started, please follow the deployment guide

Code Structure

The layout of code in the following subtrees follows particular reasoning described below:

Subfolder Description
commons Utility or common functionality used through the Think Big accelerator platform
core API frameworks that can generally used by developers to extend the capabilities of the Think Big accelerator platform
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, REST API for the recording of metadata
plugins Alternative and often optional implementations for operating with different distributions or technology branches
security Support for application security for both authentication and authorization
services Provides REST endpoints and core server-side processing

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Kylo is a data lake management software 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

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