< All Topics


I. Introduction

Product Name: Apache Kylo

Brief Description: Apache Kylo is an open-source data lake management platform that simplifies the creation, management, and governance of data lakes. It provides a user-friendly interface and automation capabilities to accelerate data ingestion, transformation, and analysis.

II. Project Background

  • Library/Framework: Apache Software Foundation
  • Authors: Teradata (original contributors)
  • Initial Release: 2016
  • Type: Data lake management platform
  • License: Apache License 2.0

III. Features & Functionality

  • Data Ingestion: Facilitates data ingestion from various sources using Apache NiFi.
  • Data Transformation: Supports data transformation using Apache Spark.
  • Data Quality: Provides data profiling and validation capabilities.
  • Metadata Management: Manages data lineage, classification, and governance.
  • User Interface: Offers a web-based interface for data lake management and exploration.
  • Security and Governance: Integrates with security and governance frameworks.

IV. Benefits

  • Accelerated Data Lake Deployment: Simplifies data lake setup and configuration.
  • Improved Data Quality: Ensures data accuracy and consistency.
  • Enhanced Data Governance: Manages data lineage and compliance.
  • Increased Productivity: Streamlines data ingestion and transformation processes.
  • Self-Service Analytics: Empowers users to discover and analyze data.

V. Use Cases

  • Data Lake Creation: Building and managing enterprise-scale data lakes.
  • Data Ingestion: Ingesting data from various sources (e.g., databases, files, streams).
  • Data Transformation: Transforming and cleaning data for analysis.
  • Data Governance: Implementing data quality, security, and compliance policies.
  • Data Discovery: Searching and exploring data assets.

VI. Applications

  • Financial services
  • Telecommunications
  • Retail
  • Healthcare
  • Government

VII. Getting Started

  • Download and install Apache Kylo.
  • Configure data sources and destinations.
  • Create data pipelines and transformations.
  • Utilize the web interface for management and monitoring.

VIII. Community

IX. Additional Information

  • Built on top of Apache NiFi, Apache Spark, and other open-source technologies.
  • Integrates with various data storage and processing systems.
  • Active community and ecosystem of plugins and extensions.

X. Conclusion

Apache Kylo is a comprehensive data lake management platform that simplifies the creation and management of data lakes. Its user-friendly interface and automation capabilities make it a valuable tool for data engineers and data scientists.

Was this article helpful?
0 out of 5 stars
5 Stars 0%
4 Stars 0%
3 Stars 0%
2 Stars 0%
1 Stars 0%
Please Share Your Feedback
How Can We Improve This Article?
Table of Contents
Scroll to Top