Explore the data management bucket within the ML infrastructure landscape in this comprehensive lecture, covering tools and software for ingesting, storing, processing, exploring, labeling, and versioning datasets. Learn about the common data management path for deep learning, various data sources, storage solutions, processing techniques, feature stores, data exploration methods, labeling strategies, versioning approaches, and privacy considerations. Gain valuable insights into each stage of the data management process, from initial data acquisition to ensuring data privacy and security.
Data Management - Full Stack Deep Learning - Spring 2021
Overview
Syllabus
- Introduction
- The Common Data Management Path for Deep Learning
- Data Sources
- Data Storage
- Data Processing
- Feature Stores
- Data Exploration
- Data Labeling
- Data Versioning
- Data Privacy
Taught by
The Full Stack
