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

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