🟦 Descubre en solo 3 pasos cómo crear un flujo de trabajo simple con #Python en Dagster en nuestro blog
➡️ blog.damavis.com/dagster-paso...
#Dagster #BigData #Software
🟦 #Dagster es un orquestador de tareas muy útil para definir flujos de trabajo complejos mediante #Python
🟦 Su intuitiva interfaz de usuario y robusto sistema de loggin, la convierten en una opción muy potente para ciertos casos de uso
#BigData #Software
🟦 #Dagster es una herramienta para automatizar flujos de datos que aporta gran flexibilidad y que surge como una potente alternativa a otras opciones como #Airflow 🌀
#BigData #Software
⚙️ En el mundo de la ingeniería de datos, el uso de orquestadores de tareas es clave para asegurar que la información llega en el momento adecuado y de la forma correcta
🟦 ¿Qué herramientas existen para definir flujos de trabajo? 👇
#Dagster #Software
🚀 NEW on We ❤️ Open Source 🚀
How can a small team answer 16,000+ community Qs/month?
Colton Padden (@colton.boo) reveals Dagster’s smart AI-powered doc strategy—built for humans and LLMs.
allthingsopen.org/articles/sca...
#WeLoveOpenSource #OpenSource #AI #TechDocs #Dagster #CommunitySupport
From ingestion → stream processing → real-time analytics, this deep dive is packed with lessons for building scalable systems.
📌 Full story: dagster.io/events/da...
💡 More insights: www.dataengineeringw...
#DataEngineering #Dagster #Kafka #Flink #EventDriven #RealTimeData
𝗡𝗲𝘄 𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝗼𝗻 𝗔𝗻𝘁𝗦𝘁𝗮𝗰𝗸 𝗧𝗩! 🎙️
Pete Hunt on his journey from React to Dagster.
🎥 𝗪𝗮𝘁𝗰𝗵 👉 antt.me/freqkvk1
💬 What excites you in data engineering?
#React #Dagster #DataEngineering #TechInnovation #DevTools #OpenSource #AntStackTV
#dagster journey for refining the documentation explained by @pedramnavid.com www.youtube.com/watch?v=dVB5... #datacouncil
Data Engineering With Dagster — Part Four: Resources, DRY Pipelines, and ETL in Practice ...
medium.com/@heringerniklas/data-eng...
#cybersecurity #technology #dagster […]
SPL – мультиязычный вычислительный граф и локальный Fa...
habr.com/ru/articles/897164/
#faas #python #machinelearning #airflow #dagster #perfect
Event Attributes
Can U match the #opensource #dataengineering project logos w/company who it is most linked to?
#FridayFun
Answers at lestermartin.blog/2025/03/28/l...
#trino #starburst #nifi #snowflake #spark #databricks #mongodb #cassandra #datastax #flink #hive #cloudera #airflow #astronomer #kafka #dagster
The new #duckdb ui is awesome however, when developing I find myself always running my pipeline via #dagster so I always have to kill server then run it again and so on. #tableplus is still my no1 choice. I can just hit opt+cmd + period and the connection is disconnected and cmd+r and reconnected.
Week 7: Building a modern analytical data & ML platform. Set up project and infrastructure.
github.com/richban/open...
#dbt #dagster #duckdb #snowflake #dlt
dagster vs airflow: why open source wins #Dagster #OpenSourceWins #DataOrchestration
If you're using an orchestrator like #Airflow or #Dagster and your workload isn't anchored to the concept of "logical date" (or time partitions in Dagster) then why are you even using those?!
#DataEngineering #DataPipeline
There are two different parts to understand when mastering #dagster.
1. Technical implementation: dagster ui, deamons, state db and code location -> helps to develop
2. Difference between task and asset-based orchestrator -> helps to think about how to solve problems with dagster
📣 Vielleicht mal eine andere News für technikbegeisterte.
Bei Wormatia haben wir unsere API- und Admin-Tool mit zu #Pimcore migriert. Dabei haben wir mit dem Tool #Dagster gearbeitet.
Freut euch auf verbesserte Datenqualität und in Zukunft eine Bessere Datenqualität unserer Fussball-Daten. ⚽️🔥