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UID:8452-1720720800-1721246400@downtowntrex.org
SUMMARY:Apache Airflow Certification Course
DESCRIPTION:This is a 9-week\, in-person course: The first 4 weeks will cover material for the Airflow Fundamentals certificate\, while the last 5 weeks will cover material for the DAG Authoring certificate. Classes will be every Thursday from 6pm to 8pm\, beginning on July 11th. \nCourse Description: \nThis 9-week comprehensive course is designed to prepare participants for Apache Airflow certifications\, focusing on the Astronomer Airflow 101 and DAG Authoring certifications. Ideal for data engineers\, data scientists\, and IT professionals\, this course offers a robust curriculum combining theoretical knowledge with practical application\, ensuring a thorough understanding of Apache Airflow. \nWhat is Apache Airflow? \nApache Airflow is an open-source platform used to programmatically author\, schedule\, and monitor workflows. It allows users to define workflows as Directed Acyclic Graphs (DAGs) of tasks\, providing powerful tools to manage and automate data pipelines. Airflow is widely used for ETL processes\, business operations\, infrastructure management\, and MLOps\, offering a scalable and flexible solution for complex workflows. \nRequirements: \n• Proficiency in Python \n• Comfort with Command Line Interface (CLI) \n• Laptop \n• Docker \nCourse Outline: \nWeeks 1-4: Airflow 101 Certification \n• Week 1: Introduction to Apache Airflow \n• What is Airflow? \n• What is a DAG? \n• Example Use Cases \n• ETL \n• Business Operations \n• Infrastructure Management \n• MLOps \n• Architecture/How It Works \n• Week 2: Setting Up CLI and Exploring the User Interface \n• Setting Up CLI \n• User Interface \n• Looking at DAGs \n• Connections \n• Variables \n• DAG Overview \n• Parameters \n• Resources \n• Academy \n• Docs \n• Registry \n• Ask Astro \n• Week 3: DAGs 101 \n• First DAG Walkthrough \n• Scheduling \n• Operators \n• Connections \n• Xcoms \n• Variables \n• Sensors \n• Week 4: Scheduling Deep Dive \n• All the Dates and Times \n• Cron vs. Timedelta vs. Custom Timetables \n• Idempotence and Determinism \n• Backfilling and Catchup \nWeeks 5-9: DAG Authoring Certification \n• Week 5: Applying Business Logic \n• Branching \n• Grouping Tasks \n• Trigger Rules \n• Templating \n• Task Priority \n• Week 6: TaskFlow API \n• Xcoms \n• TaskFlow API \n• Week 7: Advanced Dependency Management \n• Branching \n• Trigger Rules \n• cross_downstream() and chain() \n• ExternalTaskSensor \n• TriggerDagRunOperator \n• Week 8: Optimization \n• Dynamic Tasks \n• Parallelism\, DAG_Concurrency\, and Max_Active_Runs_Per_DAG \n• Pools and Queues \n• Async Operators \n• Week 9: Reliability and Maintenance \n• Retries \n• SLAs \n• Timeouts \nLearning Outcomes: \nBy the end of this course\, participants will: \n• Have a solid understanding of Apache Airflow and its components. \n• Be able to develop\, deploy\, and manage workflows using Airflow. \n• Understand best practices and advanced techniques for DAG authoring. \n• Be prepared to take the Astronomer Airflow 101 and DAG Authoring certification exams. \nEmbark on this journey to master Apache Airflow and achieve certification\, enhancing your skills and career prospects in the data engineering field.
URL:https://downtowntrex.org/event/apache-airflow-certification-course/
LOCATION:Holekamp Classroom @ T-REX (5th Floor)\, 911 Washington Ave.\, St Louis\, MO\, 63101\, United States
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