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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 Zeppelin?

An online notebook tailored for collaborative document creation and interactive data exploration accommodates multiple programming languages like SQL and Scala. It provides an experience akin to Jupyter Notebook through the IPython interpreter. The latest update brings features such as dynamic forms for note-taking, a tool for comparing revisions, and allows for the execution of paragraphs sequentially instead of the previous all-at-once approach. Furthermore, the interpreter lifecycle manager effectively terminates the interpreter process after a designated time of inactivity, thus optimizing resource usage when not in demand. These advancements are designed to boost user productivity and enhance resource management in projects centered around data analysis. With these improvements, users can focus more on their tasks while the system manages its performance intelligently.

Media

Media

Integrations Supported

Apache Spark
Alluxio
Apache Cassandra
Apache Flink
Apache Geode
Apache HBase
Apache Hive
Apache Ignite
Domino Enterprise AI Platform
Elasticsearch
Hadoop
Markdown
PostgreSQL
R
SQL
Scala
Timbr.ai
Warp 10
Yandex Data Proc

Integrations Supported

Apache Spark
Alluxio
Apache Cassandra
Apache Flink
Apache Geode
Apache HBase
Apache Hive
Apache Ignite
Domino Enterprise AI Platform
Elasticsearch
Hadoop
Markdown
PostgreSQL
R
SQL
Scala
Timbr.ai
Warp 10
Yandex Data Proc

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Deequ

Company Website

github.com/awslabs/deequ

Company Facts

Organization Name

Apache

Date Founded

1999

Company Location

United. States

Company Website

zeppelin.apache.org

Categories and Features

Categories and Features

IDE

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

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