Apache Airflow

Apache Airflow is an open-source tool used to programmatically author, schedule and monitor workflows. Coursera's Apache Airflow catalogue teaches you about this powerful orchestrator at the heart of complex data pipelines. You'll learn everything from the architectural components of Airflow, designing and implementing Directed Acyclic Graphs (DAGs), to managing tasks across distributed systems. Moreover, you will also gain exposure to more advanced features such as dynamic pipeline generation, logging, and monitoring. This skill is particularly valuable for data engineers, software engineers, and those involved in building and managing data-intensive applications.
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Results for "apache airflow"

  • Status: Free Trial
    Status: AI skills

    Skills you'll gain: Data Engineering, Data Warehousing, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, Database Administration, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, Generative AI, Data Import/Export, Data Security

  • Status: Free Trial

    Skills you'll gain: Data Pipelines, Extract, Transform, Load, Apache Airflow, Google Cloud Platform, Data Integration, Data Migration, Data Processing, Apache Hadoop, Serverless Computing, Apache Spark, Big Data, Data Transformation

  • Skills you'll gain: Metadata Management, Data Sharing, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Migration, Data Warehousing, Apache Airflow, Data Processing, Data Integration, Big Data, Data Storage, Data Management, Cloud Storage, Automation

  • Status: Free Trial

    Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Data Integration, AWS Kinesis, Data Management

  • Status: Preview

    Skills you'll gain: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Kubernetes, Tensorflow, Metadata Management, PyTorch (Machine Learning Library), Containerization

  • Skills you'll gain: Data Pipelines, Data Sharing, Extract, Transform, Load, Apache Airflow, Data Migration, Data Processing, Data Warehousing, Data Integration, Google Cloud Platform, Metadata Management, Data Lakes, Cloud Storage, Big Data, Data Transformation, Automation, SQL

  • Skills you'll gain: Data Import/Export, Apache Airflow, Cloud Storage, Data Migration, Google Cloud Platform, Data Pipelines, Configuration Management

  • Skills you'll gain: Metadata Management, Data Pipelines, Data Processing, Google Cloud Platform, Data Migration, Cloud Storage, Apache Airflow, Data Lakes, Data Storage, Big Data, Data Infrastructure, Extract, Transform, Load, Apache Spark, IT Automation, Data Management, Data Transformation, Serverless Computing, SQL

  • Skills you'll gain: Data Migration, Data Processing, Google Cloud Platform, Data Pipelines, Extract, Transform, Load, Big Data, Apache Airflow, Data Integration, Data Warehousing, Cloud Storage, Metadata Management, Automation, Data Transformation, Serverless Computing

  • Status: Preview

    Skills you'll gain: CI/CD, Apache Airflow, Data Pipelines, MLOps (Machine Learning Operations), Tensorflow, Continuous Deployment, Google Cloud Platform, Machine Learning Methods, Continuous Integration, Metadata Management, PyTorch (Machine Learning Library), Applied Machine Learning, Feature Engineering, Containerization, Scalability, Data Validation

  • Status: Preview

    Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Data Pipelines, Tensorflow, Kubernetes, Metadata Management, PyTorch (Machine Learning Library), Containerization, Machine Learning

  • Status: Preview

    Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Google Cloud Platform, Data Pipelines, Tensorflow, Metadata Management, PyTorch (Machine Learning Library), Scikit Learn (Machine Learning Library), Containerization