Unpacking The Seven Principles Of Modern Data Pipelines

Unpacking The Seven Principles Of Modern Data...

Up next

From Models to Momentum: Uniting Architects and Engineers with ER/Studio

Summary In this episode of the Data Engineering Podcast, Jamie Knowles (Product Director) and Ryan Hirsch (Product Marketing Manager) discuss the importance of enterprise data modeling with ER/Studio. They highlight how clear, shared semantic models are a foundational discipline ...  Show more

From Data Models to Mind Models: Designing AI Memory at Scale

Summary In this episode of the Data Engineering Podcast, Vasilije "Vas" Markovich, founder of Cognee, discusses building agentic memory, a crucial aspect of artificial intelligence that enables systems to learn, adapt, and retain knowledge over time. He explains the concept of ag ...  Show more

Recommended Episodes

Making the Turn from Data Inventory to Helpful Information with Mara Reiff, the Chief Data Officer of FreshBooks
IT Visionaries

If data is in a pool that only keeps getting deeper as data inventory is accounted for, when is the exact moment for a business leader to jump in to do something with all the accumulated information? Leaders who care about data appreciate that it’s necessary to take stock befo ...

  Show more

Making ETL pipelines a thing of the past
The Stack Overflow Podcast

RelationalAI’s first big partner is Snowflake, meaning customers can now start using their data with GenAI without worrying about the privacy, security, and governance hassle that wo ...

  Show more

Time Plus Data Equals Efficiency with Paul Dix, the Founder and CTO of InfluxData and the Creator of InfluxDB
IT Visionaries

If the topic of databases is brought up to certain people, their eyes may gloss over. But if that happened, that would be because they just don’t know the awesome power of databases. Data can be valuable but only if it is contextualized, and time is an extremely relevant aspec ...

  Show more

#454: Data Pipelines with Dagster
Talk Python To Me

See the full show notes for this episode on the website at talkpython.fm/454