Lecture 8: Data Management (Full Stack Deep Learning - Spring 2021)

New course announcement ✨

We're teaching an in-person LLM bootcamp in the SF Bay Area on November 14, 2023. Come join us if you want to see the most up-to-date materials building LLM-powered products and learn in a hands-on environment.

Hope to see some of you there!

--------------------------------------------------------------------------------------------- In this video, you will dive into the data management bucket within the ML infrastructure landscape, exploring the tools and software to ingest, store, process, explore, label, and version datasets.

00:00 - Introduction
00:49 - The Common Data Management Path for Deep Learning
04:22 - Data Sources
11:23 - Data Storage
29:00 - Data Processing
36:02 - Feature Stores
42:00 - Data Exploration
43:42 - Data Labeling
51:28 - Data Versioning
57:03 - Data Privacy

[jeromeeusebius]

Thank you for this detailed lecture. Been following the serious from Lecture 1. The slides are well formatted and the lecture well organized. Enterprise/commercial and opensource offerings are discussed for each of the components and recommended suggestions on what tool to adopt or process to follow.

[alexbelling]

Enjoying this playlist but I'm not clear on what you mean by "everything" is in RAM (20:20). I think regular databases can store way more than their RAM

[SalehElm]

Thanks guys for really wonderful work.

[knuttlaarsen]

Can't know how I bumped onto this. All in all GREAT clip ❤️😄. I also have been watching those rather similar from mStarTutorials and kinda wonder how you guys make these clips. MSTAR TUTORIALS also had amazing information about similiar things on his vids.