Apache Airflow Training in New Hampshire

This instructor-led, live training (online or onsite) is aimed at advanced-level participants who wish to deploy Apache Airflow in cloud environments, set up CI/CD pipelines, and implement robust monitoring and logging practices for government. By the end of this training, participants will be able to: - Deploy Apache Airflow in cloud and containerized environments. - Set up CI/CD pipelines to automate DAG testing and deployment. - Integrate monitoring and logging tools to enhance system reliability. - Optimize Airflow configurations for performance and scalability. - Implement security best practices for managing workflows and environments.

This instructor-led, live training (available online or onsite) is designed for intermediate-level participants who wish to automate and manage machine learning workflows, including model training, validation, and deployment using Apache Airflow. By the end of this training, participants will be able to: - Set up Apache Airflow for government use in orchestrating machine learning workflows. - Automate data preprocessing, model training, and validation tasks. - Integrate Airflow with various machine learning frameworks and tools. - Deploy machine learning models using automated pipelines. - Monitor and optimize machine learning workflows in a production environment.

This instructor-led, live training (online or onsite) is designed for government participants at an advanced level who wish to create custom operators, sensors, and plugins in Apache Airflow and integrate these with existing data systems for enhanced automation and monitoring. By the end of this training, participants will be able to: - Develop custom operators, hooks, and sensors tailored to specific workflows for government. - Design and implement Airflow plugins to extend functionality. - Integrate Airflow workflows with external systems and services. - Optimize and monitor workflows using advanced debugging tools. - Apply best practices for managing large-scale Airflow deployments in a public sector context.

This instructor-led, live training (online or onsite) is designed for intermediate-level participants who aim to optimize workflow performance, manage complex dependencies, and scale Apache Airflow deployments for larger datasets and enterprise use cases, specifically tailored for government operations. By the end of this training, participants will be able to: - Optimize Apache Airflow workflows for enhanced performance and reliability. - Manage and troubleshoot intricate workflow dependencies. - Utilize advanced Airflow features, such as custom operators and sensors. - Scale Apache Airflow deployments to handle larger data sets and distributed systems. - Implement best practices for monitoring, logging, and security in Airflow environments, ensuring compliance with government standards.

Apache Airflow is an open-source platform designed for authoring, scheduling, and monitoring workflows. With the release of Airflow 2.x, organizations can efficiently orchestrate data pipelines at scale, integrate with a variety of cloud services, and ensure robust observability and security in production environments. This instructor-led, live training (available online or on-site) is tailored for beginner to intermediate-level data and DevOps professionals who are interested in utilizing Apache Airflow to build, automate, and scale end-to-end data pipelines for government operations. By the conclusion of this training, participants will be able to: - Install and configure Apache Airflow across various environments. - Author, schedule, and monitor Directed Acyclic Graphs (DAGs) using the TaskFlow API. - Integrate Airflow with diverse data sources, cloud services, and machine learning workflows. - Manage Extract, Transform, Load (ETL) pipelines to ensure data reliability. - Secure and scale Airflow using executors, queues, and Kubernetes. - Apply best practices for observability and production deployments. **Format of the Course** - Interactive lectures and discussions. - Extensive exercises and practical activities. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course tailored to specific government needs, please contact us to arrange.