Towards Data Science Engineering Principles
Over the last half century we have developed and refined the discipline of software engineering in order to accelerate the development and deployment of applications. This has involved a general shift towards DevOps practices that align developer and business objectives and dramatically reduce time-to-delivery. With the recent rise of data science and data analytics, the time has come to apply the principles of DevOps to data science and leverage the lessons from software engineering (and its systematic and repeatable methodology) to the discipline of data science.
After many years working on many interesting projects in the object storage space, Denis joined Mesosphere as a Sales Engineer covering the EMEA region. Denis is a passionate technologist working on innovative projects leveraging various technologies (Mesos, Kubernetes, Kafka, Tensoflow, Jupyterlab...). He enjoys building demos to demonstrate the capabilities of Mesosphere DC/OS in the container and big data areas.