DATA-ENGINEERING
Data Quality & Data Observability
Ensure pipeline reliability and data trustworthiness with data quality and observability practices.
Beginner → Intermediate
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·Certificate
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Course Intelligence
LevelBeginner → Intermediate
DurationContact us for schedule
DeliveryLive Online
LabsIncluded
CertificateIncluded
InstructorIndustry Expert
SupportPost-training
Course Details
What you'll learn
Why This Course
Bad data breaks trust in every downstream system — this course focuses specifically on catching data problems before they do damage.
What You’ll Learn
- Data quality dimensions and testing
- Data observability tooling and metrics
- Anomaly detection in pipelines
- Building data quality checks into pipelines
Curriculum
- Data Quality Fundamentals
- Data Testing Frameworks
- Data Observability Concepts
- Anomaly Detection
- Building Quality Checks into Pipelines
- Capstone: Data Quality Audit
Who Should Attend
Data engineers responsible for pipeline reliability.
Prerequisites
ETL/pipeline engineering experience helpful.
Hands-on Labs
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Practice what you learn.
Every course includes access to live lab environments for hands-on practice.
Related Courses
Keep going after this course.
Part Of A Larger Path
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This course is one stage in the Data Engineering Learning Path
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