- The dynamics between AI and IoT - Apr 18, 2017.
We see the need for a new type of Engineer who will combine knowledge from Electronics & IoT with Machine learning, AI, Robotics, Cloud and Data management (devops).
- R2: DevOps for Data Science - Feb 22, 2017.
Seeking a DevOps for data science to join the research and development team. The right person will find him or herself in an exciting and challenging environment, at the interface of quantitative science, software engineering and industrial processes.
- RCloud – DevOps for Data Science - Nov 28, 2016.
After almost two decades of software development, term – DevOps was coined and officially given importance to collaboration between development and deployment of software systems. In this early stage of Data Science field, use of standardized and empirical practises like DevOps will definitely speed up its evolution.
- Big Data Science: Expectation vs. Reality - Oct 27, 2016.
The path to success and happiness of the data science team working with big data project is not always clear from the beginning. It depends on maturity of underlying platform, their cross skills and devops process around their day-to-day operations.
- Connecting Data Systems and DevOps - Jun 17, 2016.
This post will explain why anyone transforming their company into a data-driven organization should care about software development best practices, even if they don’t consider themselves a software company.
- Health Integrated: Big Data DevOps Engineer - Sep 18, 2014.
Prototyping, new development and production hardening the Big Data Platform. Work with different teams to manage the build out and administration of the big data clusters.