Automate Data Deployments with CI/CD Pipelines

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Automate Data Deployments with CI/CD Pipelines

This course is part of DataOps: Automation & Reliability Specialization

Instructor: Hurix Digital

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 hour to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

1 hour to complete

Flexible schedule

Learn at your own pace

What you'll learn

Automated CI/CD pipelines are essential for reliable data system operations, eliminating human error and ensuring consistent deployments.
Proper artifact versioning and packaging strategies form the foundation of successful data pipeline promotion workflows.
Post-deployment validation and monitoring are critical for maintaining production data system reliability and catching failures early.
Production-grade data systems require systematic automation approaches that can scale with organizational growth and complexity.

Skills you'll gain

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This course is part of the DataOps: Automation & Reliability Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 2 modules in this course

Transform your data deployment process from manual to automated with enterprise-grade CI/CD pipelines. In today's fast-paced data environment, manual deployments are error-prone, time-consuming, and simply unsustainable at scale.

This Short Course was created to help data management and engineering professionals accomplish seamless, reliable data pipeline deployments through automation. By completing this course, you'll be able to configure GitHub Actions workflows that automatically run unit tests, build Docker images, push to registries, and trigger production deployments - skills you can implement immediately in your next project. You'll master the essential automation techniques that separate junior practitioners from seasoned professionals who build production-grade data systems. By the end of this course, you will be able to: Apply CI/CD pipelines to promote data pipeline artifacts between environments safely and reliably This course is unique because it focuses specifically on data pipeline deployment automation, bridging the gap between traditional software CI/CD practices and the unique requirements of data engineering workflows. To be successful in this project, you should have a background in basic data pipeline concepts, familiarity with Git version control, and understanding of Docker fundamentals.

Learners will master the foundational concepts and practical applications of CI/CD pipelines for data deployment automation.

What's included

3 videos1 reading1 assignment

Learners will implement comprehensive automated deployment workflows that safely promote data pipeline components from staging to production with proper validation and monitoring.

What's included

2 videos2 readings2 assignments1 ungraded lab

2 videosTotal 7 minutes

Advanced GitHub Actions for Production Deployments5 minutes
Building Complete GitHub Actions Deployment Pipeline2 minutes

2 readingsTotal 18 minutes

Enterprise Data Deployment Challenges and Automation Solutions8 minutes
Monitoring and Validation Strategies for Automated Deployments10 minutes

2 assignmentsTotal 15 minutes

Comprehensive CI/CD Pipeline Implementation Assessment10 minutes
Advanced Data Deployment Automation Knowledge Check5 minutes

1 ungraded labTotal 20 minutes

Automated Data Pipeline Deployment with GitHub Actions20 minutes

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Hurix Digital

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