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Automate Data Pipelines

Course

In this course, you'll build pipelines leveraging Airflow DAGs to organize your tasks along with AWS resources such as S3 and Redshift.

In this course, you'll build pipelines leveraging Airflow DAGs to organize your tasks along with AWS resources such as S3 and Redshift.

Intermediate

4 weeks

Real-world Projects

Completion Certificate

Last Updated July 22, 2024

Skills you'll learn:

Apache Airflow • Data pipeline dags • Data pipeline partitioning • Amazon s3

Prerequisites:

Data modeling basics • Intermediate Python • Database fundamentals

Course Lessons

Lesson 1

Introduction to Automating Data Pipelines

Welcome to Automating Data Pipelines. In this lesson, you'll be introduced to the topic, prerequisites for the course, and the environment and tools you'll be using to build data pipelines.

Lesson 2

Data Pipelines

In this lesson, you'll learn about the components of a data pipeline including Directed Acyclic Graphs (DAGs). You'll practice creating data pipelines with DAGs and Apache Airflow

Lesson 3

Airflow and AWS

This lesson creates connections between Airflow and AWS first by creating credentials, then copying S3 data, leveraging connections and hooks, and building S3 data to the Redshift DAG.

Lesson 4

Data Quality

Students will learn how to track data lineage and set up data pipeline schedules, partition data to optimize pipelines, investigating Data Quality issues, and write tests to ensure data quality.

Lesson 5

Production Data Pipelines

In this last lesson, students will learn how to build Pipelines with maintainability and reusability in mind. They will also learn about pipeline monitoring.

Lesson 6 • Project

Project: Data Pipelines

Students work on a music streaming company’s data infrastructure by creating and automating a set of data pipelines with Airflow, monitoring and debugging production pipelines

Taught By The Best

Photo of Sean Murdock

Sean Murdock

Professor at Brigham Young University Idaho

Sean currently teaches cybersecurity and DevOps courses at Brigham Young University Idaho. He has been a software engineer for over 16 years. Some of the most exciting projects he has worked on involved data pipelines for DNA processing and vehicle telematics.

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Automate Data Pipelines

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  • Real-world projects
  • Personalized project reviews
  • Program certificates
  • Proven career outcomes

4 Months

Average time to complete a Nanodegree program

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Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.

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