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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

BlackBerry Spark® provides a trusted solution for Unified Endpoint Security and Unified Endpoint Management, ensuring visibility and safeguarding all endpoints, including personal laptops and smartphones utilized for work purposes. By harnessing the power of AI, machine learning, and automation, it enhances cyber threat prevention significantly. The platform incorporates a robust Unified Endpoint Security (UES) layer that integrates effortlessly with BlackBerry Unified Endpoint Management (UEM), enabling a Zero Trust security model while maintaining a Zero Touch user experience. Given the diverse nature of remote workforces utilizing both corporate and personal devices, a one-size-fits-all approach is seldom effective. This is why BlackBerry Spark Suites offer a variety of options tailored to fulfill specific needs concerning UEM and/or UES. In addition to its comprehensive security and management features, BlackBerry Spark delivers extensive capabilities and insights spanning individuals, devices, networks, applications, and automation, ensuring a holistic approach to endpoint security. Ultimately, this adaptability makes it an ideal choice for organizations navigating the complexities of modern cybersecurity.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Spark
SecuSUITE

Integrations

Apache Spark
SecuSUITE

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

BlackBerry

Founded

1984

Country

Canada

Website

www.blackberry.com/us/en/products/blackberry-spark-suites

Vendor Details

Company Name

Deequ

Website

github.com/awslabs/deequ

Product Features

Endpoint Protection

Activity Log
Antivirus
Application Security
Behavioral Analytics
Device Management
Encryption
Signature Matching
Web Threat Management
Whitelisting / Blacklisting

Mobile Device Management (MDM)

Automatic Device Recognition
Data Management
Deployment Management
Inventory Management
Maintenance Utilities
Procurement Management
Remote Update / Installation
Software Management
Synchronization Management
Wireless Network Support

Product Features

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