Data Platform Week

Join us for five days of expert-led data engineering and platform-building sessions featuring insights from top industry leaders.

New Dagster Features

Declarative Automation

Build event-driven pipelines with ease and reduce complexity with a declarative approach to data orchestration.

Remote Execution With Pipes GA

Pipes is now Generally Available (GA)! With Pipes, you can seamlessly and reliably execute code anywhere while maintaining workflow observability in Dagster.

BI In Your Asset Graph

New BI integrations with Looker, Tableau, Power BI, and Sigma. Observe and execute BI assets in your lineage graph and catalog.

Airlift: Streamline Airflow Migrations

Airlift enables incremental federation and migration from other orchestrators, starting with Airflow. Build new workflows and unify legacy infrastructure.

Speakers

Nick Schrock

Founder & CTO - Dagster Labs

Pete Hunt

CEO - Dagster Labs

Tian Xie

Director of Engineering - Enigma

Owen Kephart

Software Engineer - Dagster Labs

Georg Heiler

Senior Data Scientist - Magenta

Jamie DeMaria

Software Engineer - Dagster Labs

Stig-Martin Liavåg

Data Engineer - Kahoot!

Alex Launi

Engineering Manager - Red Ventures

Alex Noonan

Developer Advocate - Dagster Labs

Colton Padden

Data Engineer, Developer Advocate - Dagster Labs

Jarred Colli

Head of Product - Dagster Labs

Ben Pankow

Software Engineer - Dagster Labs

Josh Braun

Design Lead - Dagster Labs

Christopher DeCarolis

Software Engineer - Dagster Labs

Elias DeFaria

Co-founder and Head of Product - SDF

Jake Hannan

Head of Data - Sigma

Schedule

Day 1 - 11/18

The Future of Data Platforms is Composable, Unified, and Leveraged

Every company needs to invest in its data platform and empower its engineers to build a centralized data platform to help navigate the heterogeneous tool ecosystem and complexities of today.

Day 2 - 11/19

Core Orchestration: Event-driven automation and native partitioning

Best-in-class data engineering requires a comprehensive orchestration solution with flexible tools for partitioning and event-based scheduling.

Day 3 - 11/20

Integrations as Composable Parts: Pipes GA, Embedded ELT, Declarative Transformation

A centralized data platform requires standardized ways of integrating and invoking all compute. Dagster provides an abstraction layer that brings integration, visibility, and control together for end-to-end ownership.

Day 4 - 11/21

Orchestration Unification and Federation

Airlift provides a toolkit to accelerate, lower costs, and reduce the risk of migrating to Dagster from Airflow. Stick around for a sneak peek at the future of orchestration unification and federation.

Day 5 - 11/22

Data Platform System of Record & Data Engineering Panel

Dagster is the single source of truth for data platform owners and pipeline builders, with end-to-end visibility of data materialization. A stacked panel discussion follows with insider insights into the tools and processes shaping the data landscape.