Building a data team from the beginning (w/ Daniel Avancini)
The Analytics Engineering Podcast
Daniel Avancini is the chief data officer and co-founder of —a fast-growing data consultancy started in Brazil. There are a lot of data consultancies around the world, and a lot of them do great work. What has been so fascinating about Indicium’s journey is their HR model. Rather than primarily hiring experienced professionals, they decided to go hard on training. They built a talent pipeline with courses and an internal onboarding process that takes new employees from zero to 60 over a few months. The result has been phenomenal and Indicium delivers great client outcomes, but most...
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Data engineering at Snowflake (w/ Rahul Jain)
The Analytics Engineering Podcast
A look inside at the data work happening at a company making some of the most advanced technologies in the industry. Rahul Jain, data engineering manager at Snowflake, joins Tristan to discuss Iceberg, streaming, and all things Snowflake. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to . The Analytics Engineering Podcast is sponsored by dbt Labs.
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The intersection of UI, exploratory data analysis, and SQL (w/ Hamilton Ulmer)
The Analytics Engineering Podcast
Hamilton Ulmer is working at the intersection of UI, Exploratory Data Analysis, and SQL at MotherDuck, and he's built a long career in EDA. Hamilton and Tristan dive deep into the history of exploratory data analysis. Even if you spend most of your time below the frontend layer of the stack, it is important to understand the trends in both the practice of data visualization and the technologies that underlie that practice. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to . The Analytics Engineering Podcast is sponsored by dbt Labs.
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Making data movement as reliable as electricity (w/ Taylor Brown)
The Analytics Engineering Podcast
Fivetran recently passed $300 million ARR and has over 7,000 customers globally. Taylor Brown, the cofounder and COO of Fivetran, joins the show to talk about Fivetran’s moat, the impact of AI on the data ingestion space, and open table formats and catalogs. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to . The Analytics Engineering Podcast is sponsored by dbt Labs.
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Data as an assembly line (w/ Cedric Chin)
The Analytics Engineering Podcast
Cedric Chin runs Commoncog—a publication about accelerating business expertise. He joins Tristan to talk about the analytics development lifecycle, how organizations value (or misvalue) data, and why “data teams are not some IT helpdesk to be ignored.” For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to . The Analytics Engineering Podcast is sponsored by dbt Labs.
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The data jobs to be done (w/ Erik Bernhardsson)
The Analytics Engineering Podcast
Erik Bernhardsson, the CEO and co-founder of Modal Labs, joins Tristan to talk about Gen AI, the lack of GPUs, the future of cloud computing, and egress fees. They also discuss whether the job title of data engineer is something we should want more or less of in the future. Erik’s not afraid of a spicy take, so this is a fun one. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to . The Analytics Engineering Podcast is sponsored by dbt Labs.
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Coalesce 2024 edition: What’s next for data teams? (w/ Scott Breitenother)
The Analytics Engineering Podcast
Show description: Scott Breitenother, founder of data consultancy Brooklyn Data Co., joins Tristan at Coalesce 2024 in Las Vegas to discuss the early days of dbt, the evolution of data teams, and what's next for the dbt community. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to . The Analytics Engineering Podcast is sponsored by dbt Labs.
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The current state of the AI ecosystem (w/ Julia Schottenstein)
The Analytics Engineering Podcast
Former co-host Julia Schottenstein returns to the show to go deep into the world of LLMs. Julia joined LangChain as an early employee, in Tristan’s words, to “Basically solve all of the problems that aren't specifically in product and engineering.” LangChain has become one of, if not the primary frameworks for developing applications using large language models. There are over a million developers using LangChain today, building everything from prototypes to production AI applications.
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Creating value from GenAI in the enterprise (w/ Nisha Paliwal)
The Analytics Engineering Podcast
Nisha Paliwal, who leads enterprise data tech at Capital One, joins Tristan to discuss building a strong data culture for in the world of AI. She is the co-author of the book Secrets of AI Value Creation. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to . The Analytics Engineering Podcast is sponsored by dbt Labs.
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Developer productivity on GitHub Copilot (w/ Eirini Kalliamvakou)
The Analytics Engineering Podcast
Dr. Eirini Kalliamvakou is a senior researcher at GitHub Next. Eirini has built a career on studying software engineers, how to measure their productivity, how developer experience impacts productivity, and more. Recently, Eirini has been working on quantifying the impacts of GitHub Copilot. Does it actually help software engineers be more productive? Tristan and Eirini explore how to quantify developer productivity in the first place, and finally, arriving at whether or not Copilot makes a difference. In the search for real business value, this research is a real bellwether of things to...
info_outlineEric Avidon is a journalist at TechTarget who's interviewed Tristan a few times, and now Tristan gets to flip the script and interview Eric. Eric is a journalist veteran, covering everything from finance to the Boston Red Sox, but now he spends a lot of time with vendors in the data space and has a broad view of what's going on. Eric and Tristan discuss AI and analytics and how mature these features really are today, data quality and its importance, the AI strategies of Snowflake and Databricks, and a lot more. Plus, part way through you can hear Tristan reacting to a mild earthquake that hit the East Coast.
For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.