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What is FileQuest?

FileQuest® provides a rapid, web-based solution tailored for data discovery that meets the requirements of litigation, investigations, regulatory compliance, and privacy protection. With the FileQuest® Digital Mountain service, users can access immediate web solutions that optimize and simplify the entire electronic discovery workflow. This cutting-edge platform empowers law firms, corporations, and government organizations to handle data extraction, filtering, processing, reviewing, and document production independently and effortlessly. By leveraging our all-encompassing, integrated system, FileQuest® greatly reduces the time needed for data discovery while alleviating the responsibility of managing software or hardware on your part. In essence, FileQuest® offers quick data discovery as a service, providing flexibility without necessitating significant upfront costs. Furthermore, FileQuest® facilitates ongoing data importation as new discoveries arise, ensuring a complete audit trail of all electronic evidence is maintained. This exceptional level of control and efficiency positions FileQuest® as an indispensable resource for any organization navigating the complexities of data management, thereby enhancing their operational effectiveness and decision-making capabilities.

What is AWS Self-Paced Labs?

Immerse yourself in hands-on experience within a vibrant AWS setting, leveraging a wide array of AWS services to confront real-world cloud obstacles. By adhering to comprehensive guides, you can gain a thorough understanding of a specific service, work through various use cases, or prep effectively for AWS Certification. Completing a lab can provide you with valuable insights into an AWS service in a mere 15 minutes. The organized learning paths lead you through multiple labs, helping you to learn how to integrate related AWS services seamlessly. Upon finishing a quest, you will earn a Quest Badge, which you can proudly showcase on your resume, personal website, or LinkedIn profile. Whether you are just starting with AWS or looking to keep up with the newest services, these introductory labs offer a quick and effective method to grasp essential concepts. Discover these well-regarded introductory labs that cater to various skill levels. Further develop your skills with labs that range from beginner to advanced and expert tiers. By participating in a quest—a carefully structured collection of labs—you can gain mastery over a specific AWS scenario at your own pace, culminating in the acquisition of a badge that highlights your accomplishments on professional platforms. Moreover, engaging in this hands-on learning approach not only enhances your expertise but also significantly boosts your confidence in navigating the expansive AWS cloud ecosystem, making you more adept in your professional journey.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

Digital Mountain

Company Location

United States

Company Website

www.digitalmountain.com

Company Facts

Organization Name

Amazon Web Services

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/training/self-paced-labs/

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Categories and Features

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