Automate, Ingest, and Validate Event Data

Overview

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.

Syllabus

Module 1: ETL Pipeline Automation

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.

Module 2: Event Data Compliance Validation

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.