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Data Sciences uses 7 technologies like Amazon EC2, Amazon Redshift, and Amazon Web Services (AWS). View Data Sciences's complete Tech Stack.

Data Sciences Platform And Storage Technology

Amazon Elastic Compute Cloud is a web service that provides resizable compute capacity in the cloud.
Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon that includes a mixture of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings.

Data Sciences Business Intelligence And Analytics Technology

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse

Data Sciences Programming Languages And Frameworks Technology

The Apache Project is an effort to develop and maintain an open-source HTTP server for modern operating systems including UNIX and Windows. The goal of this project is to provide a secure, efficient and extensible server that provides HTTP services in sync with the current HTTP standards.
Python is an interpreted high-level programming language for general-purpose programming. Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.

Data Sciences Productivity And Operations Technology

Apache Airflow is an open source workflow management platform that enables to programmatically author, schedule, and monitor workflows.

Data Sciences Marketing Technology

Facebook is a social networking site that makes it easy for people to connect and share with family and friends online.

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