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Building Pipelines for Workflow Orchestration Using Google Composer

Google: Professional Cloud Data Engineer,

Cloud Composer is a pipeline orchestration service on the GCP. Based on the Apache Airflow API, Composer was launched in May 2018 and is fast-emerging as a popular and versatile service for building and executing system pipelines. In this course, Building Pipelines for Workflow Orchestration Using Google Composer, you'll learn how Composer allows cloud users to quickly create pipelines with complex interconnected tasks. First, you'll discover where Composer fits in the taxonomy of GCP services and how it compares to Dataflow, which is another service for building and executing pipelines on the GCP. Next, you'll explore what a Composer environment is and how pipelines are specified, and run on these environments. Then, you'll develop an understanding of the powerful suite of operators made available for use within Composer pipelines by utilizing Airflow operators for executing shell scripts, executing arbitrary Python code, and implementing complex control flow. Finally, you'll learn how to use Airflow’s GCP-specific operators for sending email, working with BigQuery, and instantiating Dataproc clusters. When you're finished with this course, you'll have the skills and knowledge necessary to build and deploy complex pipelines built on the Apache Airflow API by utilizing Composer.

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Length 2.0 hours
Starts On Demand (Start anytime)
Cost $35/month (Access to entire library- free trial available)
From Pluralsight
Instructor Vitthal Srinivasan
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects IT & Networking
Tags Data Professional Cloud Platforms

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Rating Not enough ratings
Length 2.0 hours
Starts On Demand (Start anytime)
Cost $35/month (Access to entire library- free trial available)
From Pluralsight
Instructor Vitthal Srinivasan
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects IT & Networking
Tags Data Professional Cloud Platforms

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