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"

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    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, SQL, Data Integration, Infrastructure as Code (IaC), Data Management

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    Skills you'll gain: Dataflow, Data Visualization, Data Pipelines, Dashboard, Google Cloud Platform, Data Visualization Software, Data Lakes, Extract, Transform, Load, Data Warehousing, Cloud Infrastructure, Tensorflow, Data Infrastructure, Apache Airflow, MLOps (Machine Learning Operations), Data Architecture, Data Integration, Cloud Storage, Real Time Data, Big Data, Artificial Intelligence and Machine Learning (AI/ML)

  • 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

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    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

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

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    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

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