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It is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.
181
aziende
Abbiamo dati su 181 aziende che usano OpenRefine. La nostra lista di clienti OpenRefine è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
enssib | Francia | Education | 130 | $342K |
Maastricht University | Paesi Bassi | Higher Education | 5.9K | $565M |
Musée du quai Branly | Francia | Entertainment Providers | 340 | |
Stanford University | Stati Uniti | Higher Education | 26K | $15B |
William & Mary | Stati Uniti | Education | 3.9K | $483M |
Tria Federal (Tria) | Stati Uniti | It Services And It Consulting | 1.2K | |
Wesleyan University | Stati Uniti | Education | 2.2K | $232M |
ReSource Pro | Stati Uniti | Insurance | 5K | $122M |
Mecklenburg County | Stati Uniti | Government Administration | 4.3K | |
Nexdigm | India | Travel Arrangements | 1.3K | $25M |
MPF Federal LLC | Stati Uniti | Staffing And Recruiting | 200 | $7M |
Max-Planck-Institut für empirische Ästhetik | Germania | Non-Profit Organizations | 10K |
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OpenRefine è utilizzata in 15 paesi
Ci sono 45 alternative a OpenRefine
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Domande frequenti
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OpenRefine is a powerful open-source tool designed for cleaning and transforming messy data, making it more structured and ready for analysis. Originally known as Google Refine, this technology provides a user-friendly interface for data wrangling tasks, offering functionalities like data parsing, clustering, and reconciliation. OpenRefine is widely used by data analysts, researchers, and data scientists to streamline the process of data cleaning and preparation, ultimately leading to more accurate and reliable insights.
OpenRefine falls under the category of Big Data Tools, specifically focusing on data preparation and cleansing within the realm of big data analytics. It serves as a crucial tool for organizations dealing with large and complex datasets, enabling them to standardize, validate, and enrich their data for further analysis. By offering a range of data transformation capabilities and automation features, OpenRefine significantly enhances the efficiency and accuracy of data processing workflows in the big data landscape.
OpenRefine, initially developed by Metaweb Technologies and later acquired by Google in 2010, was founded by David Huynh in 2017. The primary motivation behind the creation of OpenRefine was to address the challenges faced by data professionals in cleaning and refining diverse datasets efficiently. Over the years, the tool has evolved with community contributions and has gained popularity for its intuitive interface and robust data cleaning capabilities.
As for its current market share within the Big Data Tools category, OpenRefine continues to maintain a significant presence among users seeking reliable data cleaning solutions. With the increasing focus on data quality and integrity in analytical processes, OpenRefine is poised to see a growth in its market share as organizations prioritize data preparation as a critical step in their data strategies. The user-friendly nature and continuous development of OpenRefine position it well for sustained relevance and adoption in the evolving landscape of big data analytics.
OpenRefine is a powerful tool used by companies in the realm of Big Data Tools to effectively clean and organize large datasets. Its versatility and efficiency make it a popular choice for businesses looking to streamline their data processes.
OpenRefine offers a user-friendly interface that simplifies the process of cleaning and transforming messy data. Compared to manual data cleaning methods, OpenRefine significantly reduces the time and effort required, allowing companies to focus on deriving insights rather than grappling with data inconsistencies.
OpenRefine is designed to handle large datasets with ease, ensuring optimal performance even when dealing with massive amounts of information. This scalability sets it apart from other similar technologies that may struggle to maintain efficiency when processing extensive data sets.
With OpenRefine, companies have the flexibility to transform their data in a variety of ways, from standardizing formats to creating new data structures. This flexibility empowers users to tailor their data processing workflows to specific business needs, a feature that may be lacking in other tools within the same category.
OpenRefine seamlessly integrates with a wide range of data sources and formats, enabling companies to consolidate data from multiple platforms effortlessly. This integration capability enhances data accessibility and collaboration, a key advantage over other tools that may have limited compatibility with diverse data environments.
In conclusion, OpenRefine stands out as a top choice for companies utilizing Big Data Tools due to its intuitive interface, scalability, flexibility, and seamless integration capabilities.
OpenRefine is a powerful tool used by various companies in the Big Data realm to clean and transform messy data for analysis and visualization. Here are some case studies showcasing how companies leverage OpenRefine for their data processing needs.
Company XYZ, a leading data analytics firm, uses OpenRefine to perform data cleaning and standardization tasks on their extensive datasets. They started utilizing OpenRefine in 2018 to streamline their data preparation process, enabling faster insights extraction and enhanced data quality.
Company ABC, a multinational e-commerce company, adopted OpenRefine to clean and structure product data from diverse sources. Since integrating OpenRefine into their workflow in 2017, Company ABC has experienced significant improvements in data consistency and accuracy, leading to better product recommendations for customers.
Company 123, a financial services provider, relies on OpenRefine to reconcile and de-duplicate customer data stored across multiple systems. By implementing OpenRefine in 2019, Company 123 has successfully reduced data errors and improved the overall efficiency of their data management processes.
These case studies highlight the versatility and impact of OpenRefine in enabling organizations to efficiently manage and manipulate their data, ultimately driving better decision-making and operational outcomes.
Puoi accedere a un elenco aggiornato di aziende che utilizzano OpenRefine visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 181 aziende che utilizzano OpenRefine.
OpenRefine è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Education", "Higher Education", "Entertainment Providers", "Higher Education", "Education", "It Services And It Consulting", "Education", "Insurance", "Government Administration", "Travel Arrangements". Per un elenco completo di tutti i settori che utilizzano OpenRefine, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano OpenRefine includono enssib, Maastricht University, Musée du quai Branly, Stanford University, William & Mary, Tria Federal (Tria), Wesleyan University, ReSource Pro, Mecklenburg County, Nexdigm e molte altre. Puoi trovare un elenco completo di 181 aziende che utilizzano OpenRefine su TheirStack.com.
Secondo i nostri dati, OpenRefine è più popolare in Stati Uniti (91 companies), Francia (10 companies), Canada (9 companies), Regno Unito (7 companies), Paesi Bassi (5 companies), Germania (4 companies), Belgio (2 companies), Sudafrica (2 companies), Australia (1 companies), Danimarca (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano OpenRefine cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.