We leverage best industry tools & software frameworks to store, process, analyze and visualize your data
Amazon Web Services (AWS) provides on-demand cloud computing platforms to individuals, companies and governments, on a metered pay-as-you-go basis.
Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Vertica provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure
Hadoop Map Reduce
MS SQL Server
Angular JS /
Take our short partnership survey and, together, we can develop the perfect solution to maximize the return on your investment in data.
The result of the project is an MVP, a concise version of the original solution that would use publicly available data and showcase the demo results to the clients during the sales process without having to inquire them for anything before they saw the product. MVP approximates benefits of joining the PCF, personalized specifically for individual practices.
The result was a system that could handle a large number of data pipeline tasks. The number of delays and issues was reduced to the bare minimum. The client-side had more time to deal with business tasks.
Our Goal was to constantly improve and adapt technologies in order to scale the system from 0 to 10K users during a rapid customer growth and allow for a quick onboarding.
The main requirement was to replace an old subscriptions product, so a new one must have the same features and non-functional characteristics.
Project goal was to get system logs from all clients and build comprehensive analytics to track usage, devices failure and performance.
To address the need for a powerful insight solution, GreenM team built a product that covers all of the aforementioned aspects. A scalable cloud-based application accumulates and processes all available Tableau Server information.
We’re open to discussing your ideas and look forward to bringing them to life
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