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What is OpenRefine?

OpenRefine, initially known as Google Refine, is an outstanding tool for organizing disorganized data, allowing users to cleanse it, transform it into various formats, and enrich it with additional information from external sources and web services. This application emphasizes user privacy since it operates solely on your local machine until you opt to share or collaborate with others, ensuring that your data stays secure on your device unless you decide to upload it. It functions by creating a lightweight server on your computer, which enables interaction via a web browser, thus facilitating easy and efficient exploration of large datasets. Users can also enhance their understanding of OpenRefine's features by accessing a range of instructional videos available online. In addition to data cleaning, OpenRefine provides users the opportunity to connect and enhance their datasets with different web services, and some platforms allow the refined data to be uploaded to central repositories such as Wikidata. Moreover, a growing assortment of extensions and plugins can be found on the OpenRefine wiki, which significantly boosts its functionality and adaptability for users. Overall, OpenRefine stands out as an essential tool for anyone aiming to effectively manage and leverage intricate datasets, making data handling not only manageable but also insightful. As the tool continues to evolve, users can expect further enhancements and capabilities that will support their data management needs.

What is AWS Clean Rooms?

Set up clean rooms in minutes and collaborate with your partners while safeguarding raw data privacy. AWS Clean Rooms enables users to quickly and easily create their own clean rooms without the hassle of building, managing, or maintaining custom solutions. Furthermore, companies can utilize APIs to smoothly integrate the features of AWS Clean Rooms into their current workflows. This service empowers organizations and their collaborators to effectively and safely analyze and work together on shared datasets without having to disclose or replicate each other’s sensitive information. With AWS Clean Rooms, users can rapidly construct a secure data clean room and work alongside any other AWS entity to discover valuable insights related to advertising techniques, investment decisions, and research projects. The platform simplifies the extraction of insights from multi-party data, ensuring that data movement is minimal while preserving the integrity of the foundational datasets. Ultimately, AWS Clean Rooms promotes a cooperative atmosphere while prioritizing data privacy and security at its foundation. By adopting this innovative service, businesses can enhance their collaborative efforts, driving better outcomes and more informed decisions.

Media

Media

Integrations Supported

Amazon QuickSight
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon Web Services (AWS)
Dandelion API

Integrations Supported

Amazon QuickSight
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon Web Services (AWS)
Dandelion API

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

OpenRefine

Date Founded

2010

Company Website

openrefine.org

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/clean-rooms/

Categories and Features

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Categories and Features

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