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What is Deequ?

Deequ is a groundbreaking library designed to enhance Apache Spark by enabling "unit tests for data," which helps evaluate the quality of large datasets. User feedback and contributions are highly encouraged as we strive to improve the library. The operation of Deequ requires Java 8, and it is crucial to recognize that version 2.x of Deequ is only compatible with Spark 3.1, creating a dependency between the two. Users of older Spark versions should opt for Deequ 1.x, which is available in the legacy-spark-3.0 branch. Moreover, we also provide legacy releases that support Apache Spark versions from 2.2.x to 3.0.x. The Spark versions 2.2.x and 2.3.x utilize Scala 2.11, while the 2.4.x, 3.0.x, and 3.1.x releases rely on Scala 2.12. Deequ's main objective is to conduct "unit-testing" on data to pinpoint possible issues at an early stage, thereby ensuring that mistakes are rectified before the data is utilized by consuming systems or machine learning algorithms. In the upcoming sections, we will illustrate a straightforward example that showcases the essential features of our library, emphasizing its user-friendly nature and its role in preserving data quality. This example will also reveal how Deequ can simplify the process of maintaining high standards in data management.

What is Apache Ivy?

Apache Ivyâ„¢ is a well-known tool for managing dependencies that prioritizes both user-friendliness and versatility. Explore its unique features tailored for enterprise use, feedback from users, and how it can improve your building framework! Ivy effectively handles various aspects of project dependencies, such as documenting, monitoring, resolving, and generating reports. Its process-agnostic design ensures it is not limited to any particular methodology or framework, allowing for substantial flexibility and reconfiguration to meet diverse needs in dependency management and build scenarios. While it can operate independently, Ivy demonstrates its true potential when used alongside Apache Ant, which provides a comprehensive set of Ant tasks that facilitate everything from resolving dependencies to generating reports and publishing outputs. This tool is packed with impressive features, with its adaptability, smooth integration with Ant, and strong management of transitive dependencies being some of the most appreciated aspects. As an open-source initiative, Ivy is shared under a permissive Apache License, encouraging community contributions and nurturing a collaborative development atmosphere. Consequently, it stands out as an ideal option for teams aiming to optimize their dependency management processes, ultimately leading to more efficient project development and maintenance.

Media

Media

Integrations Supported

Apache Spark

Integrations Supported

Apache Ant
JFrog
Perforce TeamHub

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Deequ

Company Website

github.com/awslabs/deequ

Company Facts

Organization Name

Apache Software Foundation

Company Location

United States

Company Website

ant.apache.org/ivy/

Categories and Features

Unit Testing

Not specified

Categories and Features

Package Managers

Not specified

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