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About

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. We are happy to receive feedback and contributions. Deequ depends on Java 8. Deequ version 2.x only runs with Spark 3.1, and vice versa. If you rely on a previous Spark version, please use a Deequ 1.x version (legacy version is maintained in legacy-spark-3.0 branch). We provide legacy releases compatible with Apache Spark versions 2.2.x to 3.0.x. The Spark 2.2.x and 2.3.x releases depend on Scala 2.11 and the Spark 2.4.x, 3.0.x, and 3.1.x releases depend on Scala 2.12. Deequ's purpose is to "unit-test" data to find errors early, before the data gets fed to consuming systems or machine learning algorithms. In the following, we will walk you through a toy example to showcase the most basic usage of our library.

About

GuideSpark is the leader in change communications guiding over 1,000 enterprise customers to business success by changing the hearts and minds of employees. GuideSpark Communicate Cloud® drives organizational change with communication journeys, targeted experiences that reach, engage and change employee behavior to achieve your critical business goals. Manage, measure and scale your internal communications effectiveness with GuideSpark.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone looking for an Unit Testing solution that measures data quality in large datasets

Audience

Enterprises

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Deequ
github.com/awslabs/deequ

Company Information

GuideSpark
Founded: 2008
United States
www.guidespark.com

Alternatives

Spark Streaming

Spark Streaming

Apache Software Foundation

Alternatives

Apache Spark

Apache Spark

Apache Software Foundation
SnapComms

SnapComms

SnapComms, an Everbridge company
MLlib

MLlib

Apache Software Foundation
Workvivo

Workvivo

Zoom
Apache Mahout

Apache Mahout

Apache Software Foundation

Categories

Categories

Employee Communication Tools Features

Activity / News Feed
Audio / Video Conferencing
Blogs
Chat / Messaging
Employee Directory
Event Calendar
File Sharing
Knowledge Management
Newsletter Management
Surveys & Feedback

Employee Engagement Features

Benchmarking
Cultural Alignment
Employee Awards
Employee Guides
Employee Recognition
Feedback Management
Goal Management
Health & Wellness Programs
Performance Management
Pulse Surveys

Internal Communications Features

App Integration
Blogs
Chat/Messaging
Email Management
Employee Directory
Event Calendar
Newsletter Management
Photo Gallery
Social Sharing
Survey Management
Telephony
Video Chat
Voice Chat

Integrations

Apache Spark
Microsoft Excel
Microsoft Teams
Slack
Workday HCM

Integrations

Apache Spark
Microsoft Excel
Microsoft Teams
Slack
Workday HCM
Claim Deequ and update features and information
Claim Deequ and update features and information
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Claim GuideSpark and update features and information