How Consumer-driven Technologie…
Consumer-driven technologies are disrupting the state of Retail, as Brick-and-Mortar and E-commerce businesses alike need a fast journey to personali…
The first step to a data practice is to drive actionable insights from your data. We analyze your historical data, reveal hidden patterns and help you design state-of-the-art dashboards, forecasting models and predictions.
Machine learning is an extremely powerful tool with the potential to revolutionize the way businesses work. We look for patterns in human behaviors and transform image, video or recommendation algorithms into solutions, delivering technological breakthroughs
Building big data intensive application consists in permanently pushing the boundaries of what is possible. Our expertise in data engineering and distributed systems allows us to design consistent data architecture.
Building an application to reach your end users in a data intensive context requires special care. In this context, we build web applications with an expert knowledge of your big data architecture. With our expertise, solutions are developed and deployed quickly with automated processes on top of the latest cloud services such as Amazon Web Services.
Qwertee is a big data analytics company headquartered in Cluj-Napoca (Romania). Founded in 2017, Qwertee's ambition is not only to deliver software to its customers, but rather to provide high end Research And Development solutions that match the business needs. Our expertise ranges from data engineering and data science to web application development and continuous deployment, allowing us to propose a complete cloud software solution for your big data intensive problem.
Our team is made of seasoned engineers accustomed to corporate environment, but also to startup philosophy and with a core interest in science and technology.
We developed a model to analyze past failures of production assets and reduce the likelihood of future ones by predicting when maintenance is required.
From POC to production ready, reimplement all features in order to increase readability, maintainability and extensibility respecting the same time, memory and Azure budget constraints for each execution.
We improved write performance by 10% by correctly configuring Apache Spark and AWS EMR for our client.
We developed a platform for automatic tracking of valuable assets in an industrial context. This automatically process input data (videos, geolocation data...) via a custom made data pipeline and make this processed data available to the end user via a web application.
We cover the full scope of data-intensive application development. From data engineering, machine learning to production-ready cloud solutions
We consult with you, discuss all outcomes for your projects. We propose enhancements to your existing data infrastructure. We build production-ready data-intensive solutions
Consumer-driven technologies are disrupting the state of Retail, as Brick-and-Mortar and E-commerce businesses alike need a fast journey to personali…
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An index is an additional database structure which has the purpose of improving read performance at the cost of extra storage. For more details about…
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