Data Pipeline with Apache Airflow

This hands-on training equips you with the practical skills to design, build, and manage scalable data pipelines using Apache Airflow. Ideal for data engineers, developers, and anyone working with automated workflows in big data systems.

Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. It allows you to define complex data pipelines as Directed Acyclic Graphs (DAGs) and manage task dependencies efficiently.

In this course, you will learn how to set up Airflow, create and manage DAGs, handle task dependencies, and integrate with various data sources and platforms like AWS, GCP, Hadoop, and Spark. You will also explore best practices for monitoring and alerting in production environments.

By the end of this course, you will be able to build robust data pipelines that can handle both batch and real-time data processing, ensuring your data workflows are efficient and reliable.

In this course, you will gain hands-on experience with:

• Understanding DAGs (Directed Acyclic Graphs)
• Task dependencies and scheduling
• Airflow Operators and Hooks
• Creating and managing Workflows
• Monitoring and Alerting
• Integrating Airflow with AWS, GCP, Hadoop, and Spark
• Building real-time and batch pipelines
• CI/CD integration and Airflow best practices
• Handling data quality and error management

This course is designed to provide you with the skills needed to effectively use Apache Airflow in real-world scenarios, enabling you to automate and manage complex data workflows with ease.

• Using Airflow for ETL processes
• Implementing security best practices in Airflow
• Scaling Airflow for large data workflows
• Using Airflow with Docker and Kubernetes
• Advanced Airflow features like XComs and SubDAGs
• Building custom Airflow plugins
• Optimizing Airflow performance
• Using Airflow with Apache Spark and Hadoop
• Implementing data lineage and auditing
• Best practices for production deployments

This course is ideal for:

• Data Engineers
• Data Scientists looking to automate workflows
• Software Developers interested in data engineering
• DevOps Engineers managing data pipelines
• Data Analysts wanting to enhance their ETL skills
• Big Data Professionals working with Apache Airflow
• Anyone interested in learning how to orchestrate data workflows
• Professionals looking to enhance their data pipeline management skills
• Individuals seeking to automate and monitor data workflows
• Students and graduates aiming to enter the data engineering field
• Anyone interested in mastering Apache Airflow for data pipeline orchestration

Whether you are a beginner or have some experience with data engineering, this course will provide you with the practical skills needed to effectively use Apache Airflow in your projects.

This course offers a comprehensive learning experience with the following features:

• Live Online & Classroom Training Modes
• Capstone Project using Apache Airflow + AWS
• 100% Placement Assistance
• Post-training mentorship & resume support
• Hands-on training with real-world scenarios
• Access to course materials and resources
• Interactive sessions with industry experts
• Flexible learning schedule
• Access to recorded sessions for review
• Networking opportunities with peers and instructors
• Certification upon course completion
• Access to a community of learners for ongoing support
• Regular updates on the latest features and best practices in Apache Airflow
• Practical exercises and assignments to reinforce learning
• Real-time project work to apply learned skills
• Feedback and guidance from instructors on assignments
• Opportunities to participate in discussions and Q&A sessions

Join us to master Apache Airflow and take your data engineering skills to the next level. This course is designed to provide you with the knowledge and practical experience needed to excel in the field of data pipeline orchestration.