Dagster training

SKU: 3958
13 Lesson
|
24 Hours
|
15K+ Learners
Dagster Training helps you learn how to build, orchestrate, monitor, and manage reliable data pipelines using Dagster. The course covers core Dagster concepts, assets, jobs, schedules, sensors, resources, partitions, testing, monitoring, and deployment. You will gain practical skills to develop maintainable data workflows, automate pipeline execution, manage dependencies, and monitor data assets effectively. The training is suitable for data engineers, analytics engineers, and professionals working with modern data platforms.

Overview

Prerequisites for Dagster Training

  • Basic familiarity with Python, including functions, packages/modules, decorators, and type hints.
  • Basic understanding of SQL, including SELECT statements and database tables.
  • Basic familiarity with the command line/terminal.
  • Python 3.10 or later for the current Dagster setup.
  • No prior experience with Dagster is required.

Who Should Take Dagster Training?

  • Data Engineers
  • Analytics Engineers
  • Data Scientists
  • ETL Developers
  • Data Platform Engineers
  • Python Developers working with data pipelines
  • Professionals who want to learn data orchestration with Dagster

What You Will Learn

  • Understand Dagster and asset-based data orchestration.
  • Create and manage software-defined assets.
  • Define asset dependencies and data lineage.
  • Work with resources and external data systems.
  • Create jobs, schedules, and sensors.
  • Implement partitions and backfills.
  • Use the Dagster UI to monitor assets and pipeline runs.
  • Add asset metadata and manage asset information.
  • Test and troubleshoot Dagster pipelines.
  • Deploy and manage Dagster projects.

Why Choose igmGuru for Dagster Course?

  • Live, instructor-led sessions with experienced trainers
  • Hands-on practice with Dagster assets, jobs, schedules, sensors, and resources
  • Practical data pipeline and orchestration exercises
  • Curriculum covering current Dagster concepts and workflows
  • Flexible self-paced and live batch options
  • Lifetime access to session recordings and training materials
  • Post-training query support and career guidance

Key Features

Course Curriculum

1. Introduction to Data Engineering
2. Understanding Data Orchestration
3. What Is a Data Orchestrator?
4. Orchestration Approaches
5. Asset-Centric Orchestration
6. Dagster Architecture and Core Concepts
7. Dagster Use Cases
1. Dagster Prerequisites
2. Installing Dagster
3. Setting Up a Local Dagster Environment
4. Creating a Dagster Project
5. Project Structure
6. Using the Command Line
7. Dagster UI Overview
1. Introduction to Dagster Assets
2. Understanding Data Assets
3. Defining Assets
4. Asset Materialization
5. Viewing Asset Details
6. Running Assets
7. Viewing Run Details
8. Troubleshooting Failed Runs
1. Understanding Asset Dependencies
2. Defining Dependencies Between Assets
3. Asset Graphs
4. Data Lineage
5. Assets and Database Execution
6. Loading Data into a Database
7. In-Memory Asset Computations
8. Viewing Asset Lineage in Dagster UI
1. Understanding the Definitions Object
2. Defining Dagster Assets and Resources
3. Understanding Code Locations
4. Managing Definitions
5. Viewing Code Locations in Dagster UI
1. Defining Resources
2. Configuring Resources
3. Connecting Resources to Assets
4. Database Resources
5. Using Resources in Assets
6. Refactoring Assets to Use Resources
7. Analyzing Resource Usage in Dagster UI
1. Understanding Dagster Jobs
2. Defining Jobs
3. Asset-Based Jobs
4. Understanding Schedules
5. Creating Schedules
6. Connecting Jobs and Schedules
7. Running Scheduled Pipelines
8. Managing Jobs and Schedules in Dagster UI
1. Understanding Partitions
2. Creating Partitions
3. Partitioning Assets
4. Date-Based Partitions
5. Partitioned Jobs
6. Understanding Backfills
7. Running Backfills
8. Managing Partitions and Backfills in Dagster UI
1. Understanding Dagster Sensors
2. Sensor-Based Automation
3. Configuring Sensors
4. Creating Sensor-Triggered Assets
5. Creating Jobs for Sensors
6. Building and Enabling Sensors
7. Monitoring Sensors in Dagster UI
1. Navigating the Dagster UI
2. Asset Catalog
3. Asset Details
4. Asset Lineage
5. Run History
6. Run Logs
7. Jobs
8. Schedules
9. Resources
10. Backfills
11. Monitoring Pipeline Execution
12. Troubleshooting Failed Runs
1. Understanding Asset Metadata
2. Asset Descriptions
3. Asset Groups
4. Grouping Assets
5. Materialization Metadata
6. Adding Metadata to Assets
1. Testing Dagster Pipelines
2. Asset Testing Concepts
3. Asset Checks
4. Debugging Data Pipelines
5. Validating Pipeline Results
6. Troubleshooting Pipeline Failures
1. Local Development vs Production
2. Dagster Open Source Deployment
3. Dagster+ Overview
4. Code Locations in Production
5. Deployment Configuration
6. Building Deployment Artifacts
7. Docker-Based Deployment
8. CI/CD for Dagster
9. Production Pipeline Management
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Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 24 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 21 Oct 2026
  • Weekday Batch 26 Oct 2026
  • Weekend Batch 24 Oct 2026

1 ON 1 Training

US $ 899.00
100% Money Back Guarantee
  • Duration : 24 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 21 Oct 2026
  • Weekday Batch 26 Oct 2026
  • Weekend Batch 24 Oct 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Want to know Today's Offer

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Dagster Certification

Upon successfully completing the Dagster Training, you will receive an igmGuru Course Completion Certificate. This certificate validates your learning and skills in Dagster data orchestration, including assets, jobs, schedules, sensors, resources, partitions, and pipeline management.

Dagster Certification

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