Datalayer Notebook Allows Data Scientists to Play with Big Data, Build Innovative Models, and Share Results Easily on Microsoft Azure

MICROSOFT AZURE ISV PROFILE: DATALAYER

Datalayer developed a WEB Notebook that allows the data scientist and business analyst to easily build models on internal and external big datasets. The Notebook runs on open-source Spark/Hadoop, is available on the Azure cloud and can also be deployed on-premises. Mathematical libraries, real-time collaboration, and publication into Microsoft OneNote make the Datalayer Notebook a first-choice solution for enterprises and academics working to process Big Data.

WHAT WE OFFER

WHAT OUR CUSTOMERS ARE SAYING“The Datalayer solution brings to my data modelling the ease and power of big data science in minutes. This is a really innovative approach, which makes me much more productive.” – Clark Djilo, Modelling Actuary & Auditor, CNAM Paris

LEARN MORECreate a free account on datalayer.io to use the Datalayer Notebook and learn with others or email info@datalayer.io to know more about our professional subscriptions.

© 2015 Datalayer

Big Data Science is used by more and more companies to help better serve customers. The challenges to solve cover mathematics, software engineering, domain knowledge – and a good dose of innovation. Datalayer captured a set of challenges in typical science projects and built an integrated solution to solve them.

The Datalayer Notebook is a web application to discover, preprocess, and clean big datasets. Stop losing time and focus and easily connect and wrangle internal and external data. We provide full setup and integration of science development environments (Spark, Hadoop, R, Python). Spend time on business rather than infrastructure.

Data scientists and businesses often work together with no agreed goals. We provide real-time collaboration to build a common story around data. Data science is so broad that you miss useful methods and results. Get recommendations from other stories. Share and reuse data analysis to remove silos.

The Datalayer Notebook is built for enterprise and academics willing to take a step into Big Data Science with ease and fun in a secured, certified way. Be social (clone, fork, favorite) and publish your stories to Twitter or Microsoft OneNote.

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