Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Thousands of innovative newsletter creators rely on SparkLoop to automatically attract more high-quality email subscribers. You should consider it as well. SparkLoop simplifies the process of incentivizing your subscribers to share your newsletter with their friends, allowing you to expand your audience, enhance subscriber engagement, and reduce the time and money spent on growth. Unlike other referral systems, SparkLoop is specifically designed for newsletters, enabling you to establish a robust referral program similar to Morning Brew's in just a few clicks, without the need for developers, coding, or complicated integrations. Each subscriber receives a personalized referral link directly in your newsletter, encouraging them to share it for rewards and prizes. You can observe your email list expanding effortlessly from the SparkLoop dashboard, as your audience works to grow it for you. The largest and most successful newsletters on the internet trust SparkLoop for their growth needs, thanks to its advanced fraud prevention, comprehensive white-label options, and enterprise-level security features, ensuring that it remains the only trustworthy solution available. By utilizing SparkLoop, you can unlock the full potential of your newsletter.
API Access
Has API
No
API Access
Has API
No
Integrations
AWeber
No
ActiveCampaign
No
Apache Spark
Yes
Campaign Monitor
No
Drip
No
Ghost
No
Hype
No
Kit
No
Mailchimp
No
MailerLite
No
Integrations
AWeber
Yes
ActiveCampaign
Yes
Apache Spark
No
Campaign Monitor
Yes
Drip
Yes
Ghost
Yes
Hype
Yes
Kit
Yes
Mailchimp
Yes
MailerLite
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$99 per month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Deequ
Website
github.com/awslabs/deequ
Vendor Details
Company Name
SparkLoop
Founded
2020
Country
United Kingdom
Website
sparkloop.app/
Product Features
Product Features
Referral
Affiliate Marketing
No
Campaign Management
No
Contact Management
No
Employee Referral Management
No
Feedback Management
No
Lead Engagement
No
Loyalty Program
No
Referral Tracking
No
Rewards Management
No