Dec 6 - 10, 2021

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Scaling Knowledge > Scaling Bodies: Why dbt Labs is making the bet on a data literate organization

Scaling Knowledge > Scaling Bodies: Why dbt Labs is making the bet on a data literate organization - Erica Louie

 Keynote: How big is this wave? Keynote: How big is this wave?

Keynote: How big is this wave? - Martin Casado & Tristan Handy

 dbt 101: Stories from real-life data practitioners + a live look at dbt dbt 101: Stories from real-life data practitioners + a live look at dbt

dbt 101: Stories from real-life data practitioners + a live look at dbt - Natty (Jon Natkins) & Alexis Wong Baird

 How to build a mature dbt project from scratch

How to build a mature dbt project from scratch - Dave Connors

 Analytics Engineering for storytellers

Analytics Engineering for storytellers - Winnie Winship

 The modern data experience

The modern data experience - Benn Stancil

 Identity Crisis: Navigating the Modern Data Organization Identity Crisis: Navigating the Modern Data Organization Identity Crisis: Navigating the Modern Data Organization Identity Crisis: Navigating the Modern Data Organization Identity Crisis: Navigating the Modern Data Organization

Identity Crisis: Navigating the Modern Data Organization - Jillian Corkin, David Jayatillake, Caitlin Moorman, Barr Moses & Stefania Olafsdottir

 Git for the rest of us

Git for the rest of us - Claire Carroll

 You don’t need another database: A conversation with Reynold Xin (Databricks) and Drew Banin (dbt Labs) You don’t need another database: A conversation with Reynold Xin (Databricks) and Drew Banin (dbt Labs)

You don’t need another database: A conversation with Reynold Xin (Databricks) and Drew Banin (dbt Labs) - Drew Banin & Reynold Xin

 Share. Empower. Repeat. Come learn about how to become a Meetup Organizer!

Share. Empower. Repeat. Come learn about how to become a Meetup Organizer! - Rosie Cardoso

 The Operational Data Warehouse: Reverse ETL, CDPs, and the future of data activation

The Operational Data Warehouse: Reverse ETL, CDPs, and the future of data activation - Tejas Manohar

 Refactor your hiring process: a framework (Workshop Sponsor) Refactor your hiring process: a framework (Workshop Sponsor) Refactor your hiring process: a framework (Workshop Sponsor)

Refactor your hiring process: a framework (Workshop Sponsor) - Ilse Ackerman, Ezinne Chimah & Rocío Garza Tisdell

 Tailoring dbt's incremental_strategy to Artsy's data needs

Tailoring dbt's incremental_strategy to Artsy's data needs - Abhiti Prabahar

 Optimizing query run time with materialization schedules

Optimizing query run time with materialization schedules - Ola Canty

 How dbt Enables Systems Engineering in Analytics

How dbt Enables Systems Engineering in Analytics - Jorge Cruz Serralles

 When to ask for help: Modern advice for working with consultants in data and analytics

When to ask for help: Modern advice for working with consultants in data and analytics - Jacob Frackson

 Smaller Black Boxes: Towards Modular Data Products

Smaller Black Boxes: Towards Modular Data Products - Stephen Bailey

 The Modern Data Stack: How Fivetran Operationalizes Data Transformations

The Modern Data Stack: How Fivetran Operationalizes Data Transformations - Nick Acosta

 Analytics Engineering Everywhere: Why in Five Years Every Organization Will Adopt Analytics Engineering

Analytics Engineering Everywhere: Why in Five Years Every Organization Will Adopt Analytics Engineering - Jason Ganz

 Down with

Down with "data science" - Emilie Schario

 So You Think You Can DAG: Supporting data scientists with dbt packages

So You Think You Can DAG: Supporting data scientists with dbt packages - Emma Peterson

 Operationalizing Column-Name Contracts with dbtplyr

Operationalizing Column-Name Contracts with dbtplyr - Emily Riederer

 Data Paradox of the Growth-Stage Startup

Data Paradox of the Growth-Stage Startup - Emily Ekdahl

 Batch to Streaming in One Easy Step Batch to Streaming in One Easy Step

Batch to Streaming in One Easy Step - Emily Hawkins & Arjun Narayan

 The Call is Coming from Inside the Warehouse: Surviving Schema Changes with Automation The Call is Coming from Inside the Warehouse: Surviving Schema Changes with Automation

The Call is Coming from Inside the Warehouse: Surviving Schema Changes with Automation - Lewis Davies & Erika Pullum

 Beyond the Box: Stop relying on your Black co-worker to help you build a diverse team.

Beyond the Box: Stop relying on your Black co-worker to help you build a diverse team. - Akia Obas

 Observability Within dbt Observability Within dbt

Observability Within dbt - Kevin Chan & Jonathan Talmi

 Inclusive Design and dbt

Inclusive Design and dbt - Evelyn Stamey

 Built It Once & Build It Right: Prototyping for Data Teams

Built It Once & Build It Right: Prototyping for Data Teams - Alex Viana

 Coalesce After Party with Catalog & Cocktails Coalesce After Party with Catalog & Cocktails

Coalesce After Party with Catalog & Cocktails - Tim Gasper & Juan Sequeda

 How to Prepare Data for a Product Analytics Platform (Workshop Sponsor)

How to Prepare Data for a Product Analytics Platform (Workshop Sponsor) - Esmeralda Martinez

 Toward a Polyglot Environment for Analytics

Toward a Polyglot Environment for Analytics - Caitlin Colgrove

 Automating Ambiguity: Managing dynamic source data using dbt macros

Automating Ambiguity: Managing dynamic source data using dbt macros - Eric Nelson

 The Endpoints are the Beginning: Using the dbt Cloud API to build a culture of data awareness

The Endpoints are the Beginning: Using the dbt Cloud API to build a culture of data awareness - Kevin Hu

 Data as Engineering

Data as Engineering - Raazia Ali

 Building On Top of dbt: Managing External Dependencies

Building On Top of dbt: Managing External Dependencies - Teghan Nightengale

 Data Analytics in a Snowflake world: A conversation with Christian Kleinerman and Tristan Handy Data Analytics in a Snowflake world: A conversation with Christian Kleinerman and Tristan Handy

Data Analytics in a Snowflake world: A conversation with Christian Kleinerman and Tristan Handy - Tristan Handy & Christian Kleinerman

 Keynote: Building a Force of Gravity

Keynote: Building a Force of Gravity - Drew Banin

 dbt Core v1.0 Reveal ✨

dbt Core v1.0 Reveal ✨ - Jeremy Cohen

 Firebolt Deep Dive - Next generation performance with dbt Firebolt Deep Dive - Next generation performance with dbt

Firebolt Deep Dive - Next generation performance with dbt - Kevin Marr & Cody Schwarz

 dbt, Notebooks and the modern data experience dbt, Notebooks and the modern data experience

dbt, Notebooks and the modern data experience - Allan Campopiano & Elizabeth Dlha

 No silver bullets: Building the analytics flywheel No silver bullets: Building the analytics flywheel No silver bullets: Building the analytics flywheel

No silver bullets: Building the analytics flywheel - Kelly Burdine, Lewis Davies & Erika Pullum

 Don't hire a data engineer...yet

Don't hire a data engineer...yet - Stefania Olafsdottir

 dbt for Financial Services: How to boost returns on your SQL pipelines using dbt, Databricks, and Delta Lake

dbt for Financial Services: How to boost returns on your SQL pipelines using dbt, Databricks, and Delta Lake - Ricardo Portilla

 The Future of Data Analytics The Future of Data Analytics The Future of Data Analytics The Future of Data Analytics

The Future of Data Analytics - Sarah Catanzaro, Jennifer Li, Astasia Myers & Julia Schottenstein

 Implementing and scaling dbt Core without engineers

Implementing and scaling dbt Core without engineers - Elliot Wargo

 Building an Open Source Data Stack

Building an Open Source Data Stack - Katie Hindson

 This is just the beginning

This is just the beginning - Alan Cruickshank

 dbt in a data mesh world

dbt in a data mesh world - José Cabeda

 Introducing the activity schema: data modeling with a single table

Introducing the activity schema: data modeling with a single table - Ahmed Elsamadisi

 From Diverse

From Diverse "Humans of Data" to Data Dream "Teams" - Prukalpa Sankar

 From 100 spreadsheets to 100 data analysts: the story of dbt at Slido From 100 spreadsheets to 100 data analysts: the story of dbt at Slido From 100 spreadsheets to 100 data analysts: the story of dbt at Slido

From 100 spreadsheets to 100 data analysts: the story of dbt at Slido - Daniela Barokova, Michal Kolacek & Andrej Svec

 To All The Data Managers We've Loved Before To All The Data Managers We've Loved Before

To All The Data Managers We've Loved Before - Paige Berry & Adam Stone

 Stay Calm and Query on: Root Cause Analysis for Your Data Pipelines (Workshop Sponsor)

Stay Calm and Query on: Root Cause Analysis for Your Data Pipelines (Workshop Sponsor) - Francisco Alberini

 Upskilling from an Insights Analyst to an Analytics Engineer

Upskilling from an Insights Analyst to an Analytics Engineer - Brittany Krauth

 Modeling event data at scale (Workshop Sponsor)

Modeling event data at scale (Workshop Sponsor) - Will Warner

 Building a metadata ecosystem with dbt

Building a metadata ecosystem with dbt - Darren Haken

 New Data Role on the Block: Revenue Analytics

New Data Role on the Block: Revenue Analytics - Celina Wong

 Using dbt to understand open-source communities

Using dbt to understand open-source communities - Srini Kadamati

 Getting Meta about Metadata: Building Trustworthy Data Products Backed by dbt (Workshop Sponsor) Getting Meta about Metadata: Building Trustworthy Data Products Backed by dbt (Workshop Sponsor)

Getting Meta about Metadata: Building Trustworthy Data Products Backed by dbt (Workshop Sponsor) - Angie Brown & Kelechi Erondu

 🍪 Eat the data you have: tracking core events in a cookieless world

🍪 Eat the data you have: tracking core events in a cookieless world - Jeff Sloan

 Trials and Tribulations of Incremental Models

Trials and Tribulations of Incremental Models - Vincey Au

 Sharing the knowledge - joining dbt and

Sharing the knowledge - joining dbt and "the Business" using Tāngata - Chris Jenkins

 SQL Draw Artworks Review Panel

SQL Draw Artworks Review Panel - James Weakley

About us

dbt Labs is on a mission to help analysts create and disseminate organizational knowledge. Having pioneered the practice of analytics engineering, we're now fortunate to support a community of over 15,000 data practitioners committed to changing how data teams work together.

5000

companies using dbt Core

1000

dbt Cloud customers

1300

trained analytics engineers

15000

dbt Community Slack members

Meet our Leadership Team

Tristan Handy

Tristan Handy

Founder & CEO

Drew Banin

Drew Banin

Co-Founder & Chief Product Officer

Connor McArthur

Connor McArthur

Co-Founder & CTO

Nicholas Erdenberger

Nicholas Erdenberger

Director of Revenue

Janessa Lantz

Janessa Lantz

Vice President of Marketing

Daniel Le

Daniel Le

Chief Financial Officer

Erin Vaughan

Erin Vaughan

Director of Customer Success

Anna Filippova

Anna Filippova

Director of Community

Board of Directors

Tristan Handy

Tristan Handy

Founder & CEO, dbt Labs

Connor McArthur

Connor McArthur

Co-Founder & CTO, dbt Labs

Allison Pickens

Allison Pickens

Co-Founder & GP, The New Normal Fund

Martin Casado

Martin Casado

Partner, Andreessen Horowitz

Matt Miller

Matt Miller

Partner, Sequoia Capital

Company news

Of the Community, By the Community, For the Community

Of the Community, By the Community, For the Community

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Fishtown Analytics announces $29.5M Series B led by Sequoia Capital

Fishtown Analytics announces $29.5M Series B led by Sequoia Capital

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Getting ready for v1.0

Getting ready for v1.0

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Join us

dbt Labs is growing quickly and looking to hire people who share our core values.

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