Learn how to implement DevOps for Data Science in this series
In this blog, we are going to discuss the Importance and usage of DevOps for Data Science. we are going to discuss terms like: What is DevOps? What are the Fundamentals Of DevOps? DevOps Lifecycle What is Data Science? Data Science Lifecycle Why do Data Scientists and DevOps need to ...
In thisseries on DevOps for Data Science, I’ve explained the concept of a DevOps “Maturity Model” –a list of things you can do, in order, which will set you on the path for implementing DevOps in Data Science. The first thing you can do in your projects is to implement Infrastr...
DevOps for Data Sciencewith Damian Brady, Paige BaileyMicrosoft Build 2018 10 mag 2018 Join Damian Brady and Paige Bailey as they collaborate to show you how Data Science and DevOps can work together in your business. You'll see how to handle everything from networking, security, and data...
Damian talks to Microsoft's Paige Bailey as well as MVP Terry McCann about DevOps for Data Science. These two really popular fields are not often combined, but there are some fantastic opportunities for cross-pollination of ideas. Damian, Paige and Terry discuss what's important to data scient...
Why data scientists shouldn’t have to handle model serving The simplest answer here is that model serving is an infrastructure problem, not a data science problem. You can see this by just comparing the stacks used for each: Model development vs. model deployment ...
Edge computing integration.As the need for real-time data processing grows, integrating edge computing with DevOps practices becomes essential. This integration allows organizations to deploy and manage applications closer to data sources, reducing latency and improving performance. ...
Looking first at the CI/CD cycle for data science and analytics we can see that:. The build activities occur as sprints where models (and reports, dashboards, scorecards, etc.) are built and trained. Unit testing and user testing are integral parts of each sprint and depend on test aut...
It is an open source tool used for monitoring and observability to have visualisation of logs and other data sources like Prometheus. It also provides features like alerting, customisations ofdashboards, plugins to extend the functionalities and querying of data. ...
The Gaia Science Operations Centre (SOC) is an integral part of a large consortium responsible for the Gaia data processing task. Serving terabytes of processed data on a daily basis to other Processing Centres across Europe makes unique demands on the processes, procedures, as well as the team...