Marquez
Master metadata lineage and job tracking with Marquez to ensure transparency, reproducibility, and observability in your data pipelines.Preview Marquez course
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Understand Marquez architecture and how it supports OpenLineage
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Capture metadata from pipelines running in Airflow, Spark, dbt, and others
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Build and explore lineage graphs to track data transformations
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Identify and debug broken or stale data jobs
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Ensure auditability and reproducibility of data workflows
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Monitor and visualize job runs, datasets, and dependencies in real time
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Data Engineers and Platform Engineers building pipeline observability
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Analytics Engineers managing dbt-based transformation logic
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Governance and Compliance Teams tracking lineage for audits
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DevOps and SREs supporting stable and transparent data infrastructure
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Open-source Enthusiasts exploring metadata standards and lineage tracking
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Set up a local Marquez instance or use Docker Compose to practice.
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Integrate Marquez with existing tools like Airflow or dbt.
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Track jobs and datasets through sample projects and workflows.
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Experiment with OpenLineage events and APIs for custom integration.
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Document lineage scenarios and how they help with debugging and trust.
Course/Topic 1 - Coming Soon
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The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.
By the end of this course, you will be able to:
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Deploy and configure Marquez in a local or cloud environment
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Understand key concepts: datasets, jobs, runs, namespaces
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Connect Marquez to orchestration engines via OpenLineage
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Visualize end-to-end data flow and dependencies
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Monitor job execution status and data freshness
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Integrate with metadata platforms and governance tools
Course Syllabus
Module 1: Introduction to Marquez and Data Lineage
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Importance of Data Lineage
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What is Marquez? Overview and Use Cases
Module 2: Marquez Architecture and Concepts
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Jobs, Datasets, Namespaces, Runs
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REST API and Event Model
Module 3: Setting Up Marquez
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Installing with Docker Compose
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Connecting to PostgreSQL and Web UI
Module 4: OpenLineage Integration
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Overview of OpenLineage Standard
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Emitting Lineage Events from Pipelines
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Schema and Compatibility
Module 5: Integrating Marquez with Workflow Tools
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Apache Airflow Integration
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dbt and Spark OpenLineage Plugins
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Manual Event Emission
Module 6: Visualizing and Debugging Lineage
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Lineage Graph UI
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Upstream/Downstream Relationships
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Job Run Status and Failures
Module 7: Advanced Use Cases
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Impact Analysis and Job Dependency Mapping
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Root Cause Tracing for Broken Pipelines
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Supporting DataOps and SRE Processes
Module 8: Marquez Interview Questions & Answers
On successful completion, you will receive a Uplatz Certificate of Completion in Marquez and OpenLineage. This certificate confirms your expertise in open-source data lineage tools, integration with orchestration systems, and implementation of metadata observability in production pipelines.
Marquez skills prepare you for roles such as:
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Data Engineer – Metadata & Lineage
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Analytics Engineer – Data Observability
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Data Platform Engineer
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Compliance and Audit Data Analyst
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MLOps/DataOps Engineer
With the rise of complex pipelines, lineage tracking is increasingly valued across finance, healthcare, e-commerce, and big tech sectors.
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What is Marquez and what does it do?
Answer: Marquez is an open-source metadata service for collecting, storing, and visualizing data lineage and job metadata. It enables data observability across pipeline tools. -
What is OpenLineage and how is it related to Marquez?
Answer: OpenLineage is an open standard for metadata tracking in data workflows. Marquez is the reference implementation that consumes and displays OpenLineage events. -
What are the core entities in Marquez?
Answer: Key entities include Jobs, Datasets, Namespaces, and Runs. Jobs produce or consume datasets, and each execution is tracked as a Run. -
How does Marquez help in debugging data pipelines?
Answer: Marquez captures lineage data and job run status, helping engineers trace failures back to their source, understand dependencies, and resolve issues efficiently. -
Can Marquez be used with Airflow?
Answer: Yes. Marquez integrates with Airflow through the OpenLineage plugin, automatically emitting metadata events as tasks execute. -
How is lineage visualized in Marquez?
Answer: The Marquez UI provides a lineage graph showing upstream and downstream datasets, job dependencies, and run statuses. -
What is a namespace in Marquez?
Answer: A namespace is a logical grouping of jobs and datasets—typically representing a team, department, or environment (e.g., dev vs prod). -
How does Marquez support compliance and audit?
Answer: By maintaining a record of job runs, dataset changes, and data flow, Marquez ensures auditability and helps meet compliance requirements like GDPR or SOX. -
Is Marquez scalable for production use?
Answer: Yes. Marquez is lightweight and scalable, especially when paired with a dedicated PostgreSQL backend and deployed in distributed environments using Docker or Kubernetes. -
What tools can send lineage data to Marquez?
Answer: Tools like Apache Airflow, dbt, Apache Spark, and custom scripts can emit OpenLineage events to Marquez via official or community connectors.