Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Deequ is an innovative library that extends Apache Spark to create "unit tests for data," aiming to assess the quality of extensive datasets. We welcome any feedback and contributions from users. The library requires Java 8 for operation. It is important to note that Deequ version 2.x is compatible exclusively with Spark 3.1, and the two are interdependent. For those using earlier versions of Spark, the Deequ 1.x version should be utilized, which is maintained in the legacy-spark-3.0 branch. Additionally, we offer legacy releases that work with Apache Spark versions ranging from 2.2.x to 3.0.x. The Spark releases 2.2.x and 2.3.x are built on Scala 2.11, while the 2.4.x, 3.0.x, and 3.1.x releases require Scala 2.12. The primary goal of Deequ is to perform "unit-testing" on data to identify potential issues early on, ensuring that errors are caught before the data reaches consuming systems or machine learning models. In the sections that follow, we will provide a simple example to demonstrate the fundamental functionalities of our library, highlighting its ease of use and effectiveness in maintaining data integrity.

Description

SPARK® enhances your service offerings by providing complimentary WiFi, entertainment, and engagement solutions, all aimed at delivering an exceptional customer experience. Our diverse range of solutions specifically caters to the healthcare industry. Whether your goal is to boost patient satisfaction and wellbeing, empower patients in managing their healthcare experiences, or enhance operational efficiencies, be sure to explore our Healthcare Solution Finder. The managed service from WiFi SPARK assists businesses in crafting a tailored user experience while maximizing the customer journey. You have the flexibility to shape your user experience, from the registration and login processes to optimizing the journey with various content filtering and reporting options. Additionally, the service is supported by robust infrastructure and equipment, offering multiple choices to meet your needs. With these innovative solutions, your organization can significantly improve the overall experience of both patients and staff alike.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Spark

Integrations

Apache Spark

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Deequ

Website

github.com/awslabs/deequ

Vendor Details

Company Name

WiFi SPARK

Founded

2003

Country

United Kingdom

Website

www.wifispark.com

Product Features

Product Features

Patient Engagement

Appointment Scheduling
Care Planning
Collaboration
Messaging
Mobile Access
Patient Education
Patient Portal
Personal Health Record
Progress Tracking
Self Management

WiFi Marketing

Automated Emails
Branded Splash Page
Customer Analytics
Data Export
Data Privacy Compliance
Lead Capture
Location Heatmaps
Loyalty Program
Review Platform Integration
SMS Marketing
Social Media Integration
Surveys
Time Limited WiFi
Trigger Campaigns

Alternatives

Alternatives

Spark Streaming Reviews

Spark Streaming

Apache Software Foundation
MLlib Reviews

MLlib

Apache Software Foundation
Apache Spark Reviews

Apache Spark

Apache Software Foundation
Apache Mahout Reviews

Apache Mahout

Apache Software Foundation