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What is SparkInfluence?
SparkInfluence is crafted to empower elite government affairs and public relations teams in their efforts to inform, engage, and inspire their communities to take meaningful action. This all-encompassing, mobile-optimized software platform features an advanced toolkit that distinguishes itself within the market. Begin maximizing your audience's potential by adopting a data-informed strategy today. With its intuitive design, SparkInfluence streamlines the enhancement of your advocacy efforts, political action committees, or online communities. By combining top-tier grassroots advocacy tools with features for fundraising, customer relationship management, PAC oversight, and more, SparkInfluence equips you with all the vital capabilities needed to monitor, manage, educate, engage, and empower your audience effectively. Each element of the platform is powerful on its own, but the greatest impact is achieved when they are used in unison. Moreover, SparkPAC stands out as the ultimate innovation in PAC software, guaranteeing that you have the finest tools available for achieving campaign success. The synergy created by these integrated features ultimately leads to more impactful advocacy outcomes.
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.
Integrations Supported
Apache Spark
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
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
SparkInfluence
Date Founded
2014
Company Location
United States
Company Website
sparkinfluence.com
Company Facts
Organization Name
Deequ
Company Website
github.com/awslabs/deequ
Categories and Features
Advocacy
Advocate Management
Campaign Management
Customer Advocacy
Event Triggered Actions
Forms Management
Legislation Tracking
Petition Management
Political Advocacy
Rewards Program
Social Engagement