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URL: https://www.coursera.org/learn/automate-ingest-and-validate-event-data

⇱ Automate, Ingest, and Validate Event Data | Coursera

Automate, Ingest, and Validate Event Data

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Automate, Ingest, and Validate Event Data

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Automated ETL pipelines maintain continuous, reliable data flow from streaming sources to analytical systems without manual intervention.

  • Data compliance validation compares actual event implementation against predefined specs to ensure data integrity and trustworthiness.

  • Real-time data processing success requires proper configuration of source connectors, transformation logic, and target mapping.

  • Proactive compliance auditing prevents costly data quality issues and ensures analytics teams can confidently rely on event data.

Details to know

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Recently updated!

January 2026

Assessments

3 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Data Pipeline Engineering & Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

Transform your data infrastructure with automated event processing and rigorous compliance validation. This course empowers data professionals to build robust, real-time data pipelines that seamlessly ingest streaming events while ensuring bulletproof tracking plan compliance. You'll master configuring ETL tools like Airflow for automated Mixpanel event ingestion into Snowflake, setting up continuous data flows from message queues, and implementing systematic schema validation processes that catch discrepancies before they impact business decisions. Learn to deploy monitoring systems that maintain data integrity across mobile and web platforms, automate compliance auditing workflows, and create feedback loops that ensure your event data remains trustworthy and actionable. This course bridges the critical gap between data engineering and quality assurance, giving you the skills to operationalize analytics infrastructure that scales with confidence.

In this module, learners will configure automated ETL pipelines using Apache Airflow to seamlessly ingest real-time event streams from sources like Mixpanel into data warehouses such as Snowflake.

What's included

2 videos1 reading1 assignment1 ungraded lab

2 videos•Total 6 minutes
  • Why ETL Automation Transforms Data Operations•4 minutes
  • Apache Airflow ETL Pipeline•2 minutes
1 reading•Total 8 minutes
  • ETL Pipeline Fundamentals for Event Stream Processing•8 minutes
1 assignment•Total 3 minutes
  • ETL Pipeline Configuration Knowledge Check•3 minutes
1 ungraded lab•Total 20 minutes
  • Automated Event Stream ETL Pipeline•20 minutes

In this module, learners will implement systematic validation processes to assess mobile event implementations against predefined tracking specifications, identify compliance gaps, and create actionable remediation workflows.

What's included

1 video2 readings2 assignments

1 video•Total 5 minutes
  • Why Data Compliance Validation Prevents Analytics Disasters•5 minutes
2 readings•Total 18 minutes
  • Tracking Plan Compliance: Frameworks and Implementation•10 minutes
  • Mobile Event Schema Validation Techniques•8 minutes
2 assignments•Total 18 minutes
  • Mobile Event Tracking Compliance & Validation Assessment•15 minutes
  • Mobile Event Compliance Validation Knowledge Check•3 minutes

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Frequently asked questions

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