Orchestrate Data Ingestion using Apache Airflow in Microsoft Fabric
🚀 Upcoming #FabricCoffee session at https://www.linkedin.com/company/102768826/admin/page-posts/published/?share=true# 🚀 📅 Date: Friday, June 13th 🕕 Time: 6:00 PM PT | Saturday, June 14th at 11:00 AM AEST 🎙️ Speaker: https://www.linkedin.com/company/102768826/admin/page-posts/published/?share=true# 📌 Topic: Orchestrate Data Ingestion using Apache Airflow Supercharge your data pipelines by combining the power of #Apache #Airflow with #MicrosoftFabric! In this dynamic session, discover how to seamlessly orchestrate data ingestion from multiple sources into Lakehouses and Warehouses with full automation and scalability. 🔹 Trigger Fabric Dataflows, Pipelines, and Notebooks with Airflow 🔹 Automate and monitor data ingestion in real time 🔹 Optimize dependencies and error handling for seamless workflows Whether you're modernizing your ETL processes or implementing a Medallion Architecture, this session equips you with practical strategies to streamline and scale your data operations effortlessly. Register here: https://www.meetup.com/microsoft-fabric-cafe/events/308348139/?utm_medium=referral&utm_campaign=share-btn_savedevents_share_modal&utm_source=link&utm_version=v2 👉 Don’t miss this opportunity to level up your data engineering game with Apache Airflow + Microsoft Fabric! #MicrosoftFabric #FabricCafe #MicrosoftLearn #ApacheAirflow #DataEngineeringIntroducing 'Workflow Orchestration Manager' powered by Apache Airflow in Azure Data Factory
Today, we are excited to announce the capability to run Apache Airflow DAGs (Directed Acyclic Graph) within Azure Data Factory, adding a key Open-Source integration that provides extensibility for orchestrating python-based workflows at scale on Azure.Orchestrating ADX queries using managed Airflow
Apache Airflow is a widely used task orchestration framework, which gained its popularity due to Python-based programmatic interface - the language of first choice by Data engineers and Data ops. The framework allows defining complex pipelines that move data around different parts, potentially implemented using different technologies. The following article shows how to setup managed instance of Apache Airflow and define a very simple DAG (direct acyclic graph) of tasks that does the following: Uses Azure registered application to authenticate with the ADX cluster. Schedules daily execution of a simple KQL query that calculates HTTP errors statistics based on Web log records for the last day. Pre-requisites for completing the steps of this tutorial are: Microsoft Azure account. Running Azure Data Explorer (ADX) cluster.
