Learn with Mage: Scaling Data Pipelines with Mage at Lodgify скачать в хорошем качестве

Learn with Mage: Scaling Data Pipelines with Mage at Lodgify

In this Learn with Mage session, we interview David Cahill Marrón, Data Engineer at Lodgify (a leading vacation rental management SaaS company), about their journey in building a scalable, reliable modern data stack. Lodgify's data ecosystem relies on Mage as the central orchestrator, managing complex workflows that feed both data engineering and data science teams. David shares firsthand experience on how Mage has become the "cornerstone" of their operations, handling everything from high-volume ingestion to advanced AI applications. Key Discussion & Demos: -The Big Switch: Why Lodgify chose Mage over established orchestrators like Airflow, focusing on ease of use, onboarding, and rapid deployment. -The Cornerstones: A deep dive into Lodgify's GCP-native stack, detailing the seamless integration between Mage, dbt, and BigQuery. -Dynamic Orchestration at Scale: A live demo of their Dynamic Dataflow Launcher pipeline, which manages the daily replication of over 90 core database tables, eliminating previous downtime and manual configuration pain. -From Concept to Production in 2 Weeks: A walkthrough of their AI/LLM-powered pipeline used to classify customer success tickets, showcasing Mage's modularity for data science use cases. -Future Use Cases: Learn how Mage is utilized for advanced predictive modeling, including churn prediction and lead conversion prediction. Connect & Learn More: Learn more about Mage: https://www.mage.ai Find out more about Lodgify: https://www.lodgify.com Connect with David Cahill Marrón:   / david-cahill-m