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ease
features
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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 Prospect is an innovative platform designed for AI-driven sales prospecting and enablement, adept at analyzing leads and prospects through personality assessments, tailored pitches, and inquiries about their interests and styles. Enhance your lead engagement by leveraging AI technology. Utilize insights from LinkedIn profiles to customize outreach and proposals, effectively connecting with potential clients on a deeper level. With Spark Prospect, navigating LinkedIn becomes a seamless experience for teams in sales, public relations, investment, and talent acquisition. The platform offers AI-assisted personality evaluations, tools for crafting cold pitches, and more, transforming the way users interact with LinkedIn data and prospects. By harnessing the power of artificial intelligence, Spark Prospect empowers users to understand target leads better and develop personalized strategies for engagement.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Spark
LinkedIn

Integrations

Apache Spark
LinkedIn

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$9 per month
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

Spark Prospect

Website

www.sparkprospect.com

Product Features

Product Features

Sales Enablement

Collaboration
Contact Management
Content Management
Document Management
Goals / Quota Management
Lead Management
Meeting Management
Performance Management
Presentation Management
Proposal Management
Territory Management
Training Management

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