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.
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您将学到什么
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.
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要了解的详细信息

添加到您的领英档案
January 2026
3 项作业
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该课程共有2个模块
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.
涵盖的内容
2个视频1篇阅读材料1个作业1个非评分实验室
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.
涵盖的内容
1个视频2篇阅读材料2个作业
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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