AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Talk Python To Me
#454: Data Pipelines with Dagster
Mar 21, 2024
Explore data pipelines with Python using Dagster, featuring insights from Pedram Navid. Learn about building efficient data pipelines, orchestrating automation, optimizing deployments with Posit Connect, backfills, partitioning, and popular data tools like DBT, DuckDB, Apache Arrow, and Pollers.
58:25
Episode guests
AI Summary
Highlights
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Dagster simplifies data pipeline creation by focusing on assets and resources for a declarative approach to data orchestration.
- Dagster's asset-based approach allows for easy modeling and execution of pipelines with tracking of asset metadata over time for performance optimization.
Deep dives
Data Pipelines with Daxter
Daxter, a valuable tool for creating data pipelines with Python, was discussed in this podcast episode. Pedram Navied from Daxter Labs highlighted the significance of data pipelines in processing, filtering, and transforming external data for businesses. Using Daxter simplifies building pipelines by focusing on assets and resources, allowing for a more declarative and efficient approach to data orchestration.
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode