Open Source DataOps and MLOps Strategies
Offered By: Linux Foundation via YouTube
Course Description
Overview
Explore strategies for implementing open source DataOps and MLOps infrastructures in this 23-minute conference talk by Lisa Cao from SystemsNull. Gain insights into solving data's most challenging problems, including interoperability, standardization, and vendor lock-in. Learn about various aspects of data management, from building pipelines to serving models, and discover how open source technologies can be leveraged to create robust DataOps and MLOps solutions. Understand the importance of promoting open source tools and methodologies in addressing the complexities of modern data ecosystems.
Syllabus
Open Source DataOps and MLOps Strategies - Lisa Cao, SystemsNull
Taught by
Linux Foundation
Tags
Related Courses
DataOps MethodologyIBM via Coursera Data Visualisation with Python: Bokeh and Advanced Layouts
FutureLearn Smart Data Pipelines to Azure - Ingesting and Migrating Data the DataOps Way
Microsoft via YouTube DataOps for the Modern Computer Vision Stack
Data Science Dojo via YouTube Scaling Data Preparation for Your Data-Centric AI Development
Open Data Science via YouTube