An Exploration Of The Data Engineering Requir...

Summary In this episode Prukalpa Sankar, co-founder of Atlan, talks about what it takes to build a “context flywheel” for AI agents in data-intensive organizations. She explained why model intelligence alone isn’t enough to make AI useful in production, and how real performance d ...  Show more

Summary In this episode Jevin Maltais talks about the practical realities of building reliable, product-focused streaming systems with Kafka. Jevin shares lessons from roles at Zapier, Humi, and Clio, where real-time synchronization, customer data unification, and document sync a ...  Show more

In this episode of the SuperDataScience Podcast, I chat with Eoin Murray, the founder of Kyso.io, a platform where you can blog about your data science projects using tools such as Jupyter notebooks. You will learn what the platform means for data scientists and how you can use i ...  Show more

Join Avery Smith and Jordan Temple in this episode of the Data Career Podcast.

Jordan shares his insights on breaking into the data industry with a non-technical background, leveraging skills in Power BI and the power of a solid online presence.

Tune in now to ga ...

This is an incredible episode where Avery took on listener questions and questions from you guys.

It’s kind of ragtag. Multiple questions here concern how to start your data career and what you should do in that process.

So, if you’re on that journey, this episod ...

Wrangling data in Pandas, when to use Pandas, Matplotlib or Seaborn, and why you should learn to create Python packages: Jon Krohn speaks with guest Stefanie Molin, author of Hands-On Data Analysis with Pandas. This episode is brought to you by Posit, the open-source data science ...  Show more