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

    Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Database Administration, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, IBM DB2, Data Visualization, Dashboard, Relational Databases

  • 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, Apache Spark, Database Systems, Feature Engineering, Data Manipulation, Data Integration, Infrastructure as Code (IaC), Data Management

  • 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: Free Trial

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Looker (Software), Data Lakes, Real Time Data, Data Processing, Data Warehousing, Unstructured Data, Big Data, Data Infrastructure, Cloud Infrastructure, Data Storage, Dashboard, Data Architecture, Apache Airflow, Extract, Transform, Load, Tensorflow, Cloud Storage, MLOps (Machine Learning Operations)

  • Status: Preview

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

  • Status: Preview

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

  • 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, Google Cloud Platform, Extract, Transform, Load, Cloud Storage, Data Infrastructure, Data Processing, Data Import/Export, Data Migration, Apache Airflow, Data Storage, Big Data, Data Management, Data Transformation, SQL

  • Skills you'll gain: Snowflake Schema, Data Pipelines, Apache Airflow, Data Security, Data Infrastructure, Data Governance, Data Architecture, Extract, Transform, Load, Apache Kafka, Data Lakes, Data Management, Performance Tuning, PySpark, Data Warehousing, Amazon S3, Amazon Web Services, Real Time Data, Data Processing, SQL, Stored Procedure

  • Skills you'll gain: Metadata Management, Extract, Transform, Load, Data Migration, Google Cloud Platform, Data Pipelines, Apache Airflow, Data Infrastructure, Data Sharing, Data Processing, Data Integration, IT Automation, Cloud Storage, Data Storage, Real Time Data, Serverless Computing

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

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