Will the dream of a mythical database to handle all workloads (transactional + analytical) ever become a reality, or does it violate the laws of physics?

This question sparked a hearty debate internally at dbt Labs, and Jon "Natty" Natkins joins Julia here to continue the conversation.

Natty knows databases, and this episode will take you on a historical romp through the rise and fall of Hadoop, the transition to cloud data warehouses, and what's waiting for us next in database-land.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

Ashley makes unique connections in her writing and work. On her Substack, "syntax error at or near ❤️," Ashley might be found comparing growing companies to butterflies, or going deep on how to accommodate sensitive people in the workplace.

In this conversation with Tristan & Julia, Ashley dives into the nuts and bolts of her trajectory pushing data innovation forward at Hubspot.

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

The Analytics Engineering Podcast is sponsored by dbt Labs.

In this very special episode, we’ll be turning the spotlight on co-host Tristan Handy, the CEO & Co-founder of dbt Labs.

In this AMA with Julia, you’ll get to know more about Tristan as a human, as a writer, and as the CEO of dbt Labs helping to push the analytics engineering practice forward. 

For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. 

Your company has one definition for revenue across the organization, one definition of the customer, and one definition of sign-up. For people whose jobs are so defined by ensuring we’re aligned, we can’t seem to standardize on one definition for the Data Scientist.

In this talk, Emilie Schario (Data Strategist-in-Residence at Amplify Partners and longtime dbt community member) proposes we lobby against the title Data Scientist, instead choosing some variation of the Core Four Data Roles: Data Analyst, Analytics Engineer, Data Engineer, and Machine Learning Engineer.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

How is the data landscape evolving, what trends should you pay attention to and which should you ignore?

In this panel, Julia Schottenstein (our fearless co-host and dbt Labs product manager) catches up with Sarah Catanzaro, Jennifer Li and Astasia Myers to dive into the trends playing out in our work.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

In this talk, former podcast guest Benn Stancil walks through what he believe the next evolution of the modern data stack should look like - and more importantly, how those who use it should experience it.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

Where does Snowflake go from here? What meta trends and technologies play into that vision? How does that impact the world of data analytics?

Christian and Tristan have no shortage of opinions or ideas. This is your chance to hear some of them, live and unfiltered.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

Reynold Xin is a technical co-founder and Chief Architect at Databricks. He’s also a co-creator and the top contributor to the Apache Spark project.

In this casual conversation with Drew Banin, co-founder and Chief Product Officer at dbt Labs, the two will be discussing the data infrastructure trends they find most interesting.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

The modern data stack is the third generation of data analysis products to come to prominence since the 90's. The prior waves—data warehouse appliances and then Hadoop—were both big steps forwards but ultimately failed to live up to their initial promise.

Is the modern data stack just another iteration in a long string of “trendy technologies” in data––waves that crash upon the shore but ultimately recede? Or is it somehow more permanent?

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.

What is it like to build a data team for a company in the data space?

This talk is centered around how dbt Labs is building their data team. We will cover how our team is structured, how we operate and interact with the greater organization, and how we set expectations and responsibilities that are helping us become a self-service organization.

Register to catch the rest of Coalesce, the Analytics Engineering Conference, at https://coalesce.getdbt.com.

The Analytics Engineering Podcast is brought to you by dbt Labs.