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: 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

  • 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

  • Status: Preview

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

  • 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

  • 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

  • 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

  • Status: Preview

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

  • 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

  • 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 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 Pipelines, Data Integration, AWS Kinesis, Infrastructure as Code (IaC), Terraform, Extract, Transform, Load, Amazon CloudWatch, Data Quality, Amazon Web Services, CI/CD, Data Processing, Data Transformation, NoSQL

  • Status: Free Trial

    Skills you'll gain: Apache Airflow, Amazon Web Services, Cloud Engineering, Cloud-Native Computing, Network Architecture, Virtual Private Networks (VPN), Network Routing, Data Pipelines, Network Security, Microservices, Event-Driven Programming, Scalability