Oct. 1, 2023, 11 p.m. | Tobias Macey

Data Engineering Podcast www.dataengineeringpodcast.com

Summary


Artificial intelligence applications require substantial high quality data, which is provided through ETL pipelines. Now that AI has reached the level of sophistication seen in the various generative models it is being used to build new ETL workflows. In this episode Jay Mishra shares his experiences and insights building ETL pipelines with the help of generative AI.


Announcements



  • Hello and welcome to the Data Engineering Podcast, the show about modern data management

  • Introducing RudderStack Profiles. RudderStack Profiles takes the …

applications artificial artificial intelligence build building data etl generative generative models insights intelligence pipelines quality quality data shares summary through workflows

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Scientist

@ Publicis Groupe | New York City, United States

Bigdata Cloud Developer - Spark - Assistant Manager

@ State Street | Hyderabad, India