Dagster Labs

Day 16! https://lnkd.in/gVKhMDeF (sorry for no video on day 15... life ya know)

Houston Data Practitioners Meetup on December 20th! Join us from 8:30 to 9:30 AM at The Ion, where we'll be diving into all things data engineering. Whether you're a seasoned pro or just curious about the field, this is your chance to chat, connect, and share insights with fellow data lovers. Hosted by the fabulous Ben Ramsey and the awesome team at Dagster Labs, this meetup is all about good vibes, great conversations, and, of course, plenty of coffee to fuel your morning. Link in the comments!

Calling all Data Wranglers in Houston! I’m hosting a Data Practitioners Meetup this Friday morning at The Ion in Downtown Houston, and I’d love for you to join us! This is a great opportunity to: ✅ Connect with like-minded professionals ✅ Share insights and best practices ✅ Explore innovative ideas in the world of data Whether you’re a data scientist, analyst, engineer, or just passionate about the field, we're looking forward to seeing this Friday, 12/20! Registration link 👇 — Feel free to comment below or send me a message if you’re interested or have questions — I’d love to see you there!

Excellent curated content for the past month!

Dagster's new layout with clear layers of abstractions, integrating stateful assets while running on any compute (processing layer) looks really cool. Great talks by Nick Schrock, as always. Recommend to re-listen on https://lnkd.in/eM-d_98S.

Your December dose of data & AI is here! In this month's roundup, you'll get: - Our Data Council 2025 talk tracks (save $ and get Early Bird tickets now) - Feature on LlamaIndex an innovative project for building RAG apps - A new podcast featuring Spencer Kimball, exploring how Cockroach Labs used open source licensing to grow their business - Curated technical reads and select job listings from the data & AI community Happy reading! https://lnkd.in/g82mntTM --- Reads written by: Mosbeh Barhoumi, Animesh Kumar, Eric Xiao, Adel Zaalouk, Simon Späti, Mehdi Ouazza, Julien Hurault, Kevin Liu, LangChain, Siddhant Sahu, Nikos Kafritsas, Adam Bellemare Jobs at: MotherDuck Clusterfudge Hex Dagster Labs Soda Vectara

The future of data platforms is here: composable, unified, and leveraged for maximum impact. Discover Dagster's vision for modern data engineering and how we're turning this vision into reality.

We have an interesting deep dive with one of our Dag-stallions Edson Nogueira, tomorrow! Edson has been a power user of Dagster for quite some time, and he will go over the team at Artefact implemented Dagster Internally. Registration link in the comments!

It’s been quite the year for AI. Of the three prongs that matter—compute, models, and data— we think data remains the most underappreciated the most ready for some love in 2025. The numbers tell the story: nearly 50% of data workflows are still manual & 87% of data science projects never reach production. We’ve seen this before. A decade ago, DevOps revolutionized software development, leading to massive gains—saving the average large enterprise up to $36.5M annually by reducing downtime and inefficiencies. But data infrastructure is still playing catch-up. The impact of DataOps will be equally transformative. Today, it’s one of the core competencies of the best enterprise software companies automating complex workflows. But like in previous software infrastructure cycles, the next 5 years will bring a democratization of the DataOps toolkit—unlocking the unique value hidden in all types of data and driving productivity across industries. Excited to share our latest piece from Activant Capital Research—a DataOps Playbook—where we borrow a few key frameworks from DevOps to highlight the path forward. Please reach out to Nina, Jonathan, or me if you're interested in collaborating on all things dataops or think we're missing anything! #dataops #ai #data cc: Andy @ Astronomer; Sean @ Ascend.io; Pete & Nick @ Dagster Labs; Gable; Prefect; RightData; Soda; DataKitchen; Acceldata; Monte Carlo; Fivetran; Y42 https://lnkd.in/eUcKrE9i

Day 14 and mayyybbbbee my favorite day so far. Dynamic code gen and peeling back the onion on ways to combine different Python parallelization "layers" .... what more could you want for a Monday? https://lnkd.in/g8aNSXxV