An Introduction to Dagster: The orchestrator for the full data lifecycle - UDEM June 2021
Nick Schrock covers the principles and origin of Dagster. Dagster is a new type of workflow engine: a data orchestrator. Moving beyond just managing the ordering and physical execution of data computations, Dagster considers the entire data application lifecycle. Practitioners in Dagster build data-aware dependency graphs designed for local development and testing; deploy those graphs to a multi-tenant, cloud-native orchestration engine; and then monitor and observe the data assets produced by those computations. In this talk, Nick discusses how Dagster differentiates itself across the three stages (dev & test, deploy & execute, monitor & observer) of the application lifecycle. Through a demo and code snippets, the talk shows how the Dagit web UI and Dagster programming model can power a variety of data practitioners. Related video: Data Driven NYC talk on Fundamentals of Data Engineering ( • Fundamentals of Data Engineering | Joe Rei... ) #data #dataengineering #airflow #prefect #cloudnative #cloudcomputing #cloud #fundamentalsofdataengineering ------------------------- About Nick Schrock Nick Schrock is the founder and CEO of Elementl, the company behind Dagster. Previously, Nick worked at Facebook, where he co-created GraphQL. Nick believes deeply in the power of well-designed developer tools to make engineers more productive, accelerate their careers, make their lives more enjoyable, and transform the organizations in which they work.

How to Use Metadata to Future-Proof Your Data Stack, w/ Raghu Murthy (Datacoral) - UDEM (5/19/2021)

Prefect as a Data Engineering Project Workflow Tool, with Mary Clair Thompson (Duke) - 11/6/2020

Making Apache Spark™ Better with Delta Lake

Zig 2026: No-AI Policy, $670K Foundation, Left GitHub & Why Zig Isn’t 1.0 - Andrew Kelley Explains

How To Build A Modern Data Catalog - Mars Lan (Metaphor Data, DataHub, prev LinkedIn)

Data Mesh - Ask me about the hard parts w/ Zhamak Dehghani

Dagster: Modern Data Platform Orchestration

Future of Data Engineering

Introduction to Data Mesh with Zhamak Dehghani
![Microsoft Fabric and Power BI - Developer of the Future⚡ [Full Course]](https://i.ytimg.com/vi/ohKpl80obzU/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLC7OUcS43Tjw7PcWR1n6T-ncrgsdA)
Microsoft Fabric and Power BI - Developer of the Future⚡ [Full Course]

Complete Terraform Course - From BEGINNER to PRO! (Learn Infrastructure as Code)

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

System Design Explained: APIs, Databases, Caching, CDNs, Load Balancing & Production Infra

Real-Time Data Pipelines Made Easy with Structured Streaming in Apache Spark | Databricks

Next Generation Big Data Pipelines with Prefect and Dask

Rethinking Orchestration as Reconciliation: Software-Defined Assets in Dagster

Apache Iceberg: What It Is and Why Everyone’s Talking About It.

Something is jamming GPS over Europe. Here's what we found

How Data Engineering Works

