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"

  • 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

  • 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: Preview

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

  • 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

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

  • 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: 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

  • 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 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: Google Cloud Platform, Data Pipelines, Data Migration, Extract, Transform, Load, Cloud Storage, Data Infrastructure, Big Data, Data Processing, Data Lakes, Apache Airflow, Analytics, Data Storage, Data Transformation, Metadata Management, Apache Spark, Automation, Real Time Data, Serverless Computing

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