a16z Podcast cover image

Data Alone Is Not Enough: The Evolution of Data Architectures

a16z Podcast

00:00

Bridging Traditional Data Models with Machine Learning Innovations

This chapter discusses the integration challenges between traditional data warehousing and advanced machine learning techniques, based on a research project at UC Berkeley. It introduces data frames as a solution that enhances capabilities for complex queries, merging data science with conventional analytics.

Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner
Get the app