DataScience Cloud is a platform that allows data scientists to discover varied build models, data sources, and algorithms and organizes works seamlessly throughout their entire organization, the irrespective level of engineering support and tech stack announced Datascience Inc. Over two years of working with clients to execute tasks like data analysis, predictive modeling work, and high volume data engineering is the reason for the development of Data science Cloud. Data science teams that pursue a full-service and more modern platform designed to sustenance their specific needs is what triggered the launch of the DataScience Cloud as a direct competitor of SAS.
From deploying predictive models to merging disparate data sources the platform helps data science teams to complete virtually every task in their workflow. A key function of the data science process is addressed by a unique tool from the platform.
- DataScience Notebook: To seamlessly create and share virtualization, reports and analysis this is a powerful cloud hosted notebook. Data teams can get their analyses up and running with the access to the pre-built tutorials and playbooks.
- DataScience Explore: For quickly understanding and determining the data across every source this is a Quarry Editor, data source browser, and visualization tool.
- DataScience Connect: With backing for over one hundred incorporations like streaming data endpoints, distributed file systems, SaaS platforms, SQL databases and others this is a gateway for linking any kind of data source.
- DataScience Deploy: This tool turns algorithms and models automatically into scalable apps. Code when sent to this platform is deployed behind an API. Which makes it easier to be accessed to any service with a web connection.