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Sense – A Collaborative Cloud Platform for Data Science and Big Data Analytics

Posted by Marcus Zillman

Sense – A Collaborative Cloud Platform for Data Science and Big Data Analytics
https://senseplatform.com/

Collaborate on, scale, and deploy data analysis and advanced analytics projects radically faster. Use the most powerful tools — R, Python, JavaScript, Redshift, Hive, Impala, Hadoop, and more — supercharged and integrated in the cloud. Join some of the world’s smartest researchers, data scientists, and enterprises using Sense to do more with data, faster. Features include: a) Use the Most Powerful Tools, Supercharged in the Cloud – Use the powerful tools you know — R, Python, JavaScript, Redshift, Hive, Impala, Hadoop, or any engine — supercharged by Sense’s scalable cloud platform. Build, scale, and deploy data analysis, statistical modeling, and advanced analytics projects radically faster; b) Scale Your Analysis Without the Typical Hassles – Scale your analysis to a larger machine or across hundreds of distributed cores, all without managing servers, transferring files, or fighting complex dependencies. Enjoy instant provisioning, simple billing, and blazing fast connectivity to Amazon’s S3, Redshift, DynamoDB, and Hadoop EMR services; c) Collaborate on Projects Easily – Collaborate on public and private projects on an unified platform for data science and big data analytics. Never be out-of-sync again or struggle to share results with the people you work with; and d)Deploy Your Analytics as Reproducible
Jobs – Build and automate your analytics and reporting pipelines. Turn ad-hoc analysis into reproducible jobs without complex deployment processes. Share reproducible workflows powered by isolated containers not fragile scripts. This will be added to the tools section of Research Resources Subject Tracer™ Information Blog. This will be added to Statistics Resources and Big Data Subject Tracer™. This will be added to Grid, Distributed and Cloud Computing Resources Subject Tracer™.

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