The Analytics Engineering Podcast
dbt Labs, Inc.
Tristan Handy has been curating the Analytics Engineering Roundup newsletter since 2015, pulling together the internet’s best data science & analytics articles.
Tristan and co-host Julia Schottenstein now bring the Roundup to real life, hosting biweekly conversations with data practitioners inventing the future of analytics engineering.
You can view full episode summaries and read back issues of the Roundup newsletter at https://roundup.getdbt.com.
The podcast is sponsored by dbt labs, makers of the data transformation framework dbt. To reach our team, drop a note to podcast@dbtlabs.com.
Tristan and co-host Julia Schottenstein now bring the Roundup to real life, hosting biweekly conversations with data practitioners inventing the future of analytics engineering.
You can view full episode summaries and read back issues of the Roundup newsletter at https://roundup.getdbt.com.
The podcast is sponsored by dbt labs, makers of the data transformation framework dbt. To reach our team, drop a note to podcast@dbtlabs.com.
Episodes
Mentioned books
May 12, 2024 • 38min
From Moneyball to Gen AI
Journalist veteran Eric Avidon discusses AI maturity, data quality, and AI strategies of Snowflake and Databricks. They touch on the evolution of analytics stack, generative AI, and vendor consolidation in the data space. Reflecting on aspirations for user-friendly analytics tools with natural language processing.
Apr 21, 2024 • 50min
Being Pro-Human in the AI Era
Barry McCardel, CEO of Hex, discusses notebooks in data analysis, AI hype cycles, building AI products, and AI impact on data practitioners. They explore Hex's collaborative platform, market structure in data tools, evolution of HEX in organizations, job title shifts in data science, practical AI applications, and envisioning data teams' future.
Apr 7, 2024 • 36min
The 2024 Machine Learning, AI & Data Landscape (w/ Matt Turck)
Matt Turck, the publisher of the MAD Landscape map, discusses the 2024 ecosystem with 2,011 logos. Topics include generative AI impact, modern AI vs data stack, Databricks vs Snowflake, and Microsoft's entry into the data landscape.
8 snips
Mar 24, 2024 • 48min
How the Media Covers Gen AI (w/ Matthew Lynley, Supervised)
Journalist/data practitioner Matthew Lynley discusses the rise of Gen AI in the media, his journey from mathematics to journalism, encountering Chat GPT, challenges of monetizing an AI newsletter, AI content creation, and the convergence of fields in AI development.
21 snips
Mar 10, 2024 • 48min
AI's Impact in the World of Structured Data Analytics (w/ Juan Sequeda, data.world)
Topics discussed include semantics, text-to-SQL performance, AI's impact on structured data analytics, evolution of semantic web, knowledge graphs, observability in business analysis, GPT-4 for text to SQL, design patterns in LLM interaction, and knowledge management in the data industry.
26 snips
Feb 25, 2024 • 46min
The End of the Modern Data Stack (w/ Benn Stancil, Mode)
Exploring the evolution of the modern data stack, AI integration in analytics, Mode's transformation to a cloud-first company, AI-powered formula builder for SQL queries, redefining the modern data stack, empowering business through IT and data teams, and envisioning the future of the data industry.
18 snips
Dec 8, 2023 • 46min
Data Mesh Architecture at Large Enterprises (w/ Moritz Heimpel and Ben Flusberg)
Moritz Heimpel from Siemens and Ben Flusberg from Cox Automotive discuss their experiences adopting a data mesh architecture and collaborating with data at scale in large organizations. They explore topics such as setting up infrastructure to scale, domain specific ownership of data, data security, and the future of the data industry.
21 snips
Nov 17, 2023 • 44min
Let's Talk About Data Vault (w/ Brandon Taylor and Michael Olschimke)
Brandon Taylor and Michael Olschimke discuss the Data Vault approach, its adoption in Europe, alignment with data mesh architecture, and the ongoing debate over Data Vault vs. Kimball methods. They also explore the impact of DataMesh on data warehouse design, recommended data modeling approaches, and hopes for the data industry.
6 snips
Nov 3, 2023 • 46min
Navigating AI Complexity (w/ Jonathan Frankle)
Jonathan Frankle, Chief Scientist at MosaicML, discusses the future of training specialized models, MosaicML inside Databricks, and responsible AI practices. They explore LLM-based systems, one-way hash functions, and the integration of Databricks platform. The trade-off between model size, cost, and complexity in AI training is also touched upon.
11 snips
Oct 20, 2023 • 29min
Career Growth in Data Roles (w/ Hubspot's Kasey Mazza at Coalesce 2023)
Kasey Mazza, analytics engineering manager at HubSpot, discusses the roles of data analysts and analytics engineers, building internal data communities, and the evolving landscape of data teams. They also explore career growth and satisfaction, the interplay between organizational structures and tooling, challenges in decision-making and central governance, using DBT across the company, and the future of the data industry.
