Applying DevOps Practices in Data and ML Engineering
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore how to apply DevOps practices in data and machine learning engineering in this comprehensive talk from the MLOps Community Meetup. Learn about the challenges of adopting DevOps principles in data engineering and discover how the open-source project Versatile Data Kit (VDK) addresses these issues. Follow along as Antoni Ivanov, Software Engineer at VMware, demonstrates creating and productionizing an end-to-end data pipeline efficiently. Gain insights into automating and abstracting the development process, managing the data journey, and extending functionality through practical examples and a step-by-step demo. Understand how VDK can transform data engineering towards a code-first, fully automated, and decentralized approach, potentially revolutionizing your data and ML workflows.