Building Data Pipelines

Apache Airflow 1.10    |    Intermediate
  • 13 Videos | 1h 14m 40s
  • Includes Assessment
  • Earns a Badge
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Explore data pipelines and methods of processing them with and without ETL (extract, transform, load). In this course, you will learn to create data pipelines by using the Apache Airflow workflow management program. Key concepts covered here include data pipelines as an application that sits between raw data and a transformed data set, between a data source and a data target; how to build a traditional ETL pipeline with batch processing; and how to build an ETL pipeline with stream processing. Next, learn how to set up and install Apache Airflow; the key concepts of Apache Airflow; how to instantiate a directed acyclic graph in Airflow. Learners are shown how to use tasks and include arguments in Airflow; how to use dependencies in Airflow; how to build an ETL pipeline with Airflow; and how to build an automated pipeline without using ETL. Finally, learn how to test Airflow tasks by using the airflow command line utility, and how to use Apache Airflow to create a data pipeline.

WHAT YOU WILL LEARN

  • describe data pipelines and automation
    build a traditional ETL pipeline with batch processing
    build a ETL pipeline with stream processing
    setup and install Apache Airflow
    describe the key concepts of Apache Airflow
    create and instantiate a directed acyclic graph in Airflow
  • use tasks and include arguments in Airflow
    use dependencies in Airflow
    build an ETL pipeline with Airflow
    build an automated pipeline without using ETL
    test Airflow tasks using the airflow command line utility
    use Apache Airflow to create a data pipeline

IN THIS COURSE

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