Big Data Testing Course
Master big data testing with hands-on techniques for data validation, pipelines, schema checks, automation, monitoring, and performance. Build reliable, scalable data platforms that keep your analytics, AI, and reporting accurate and trustworthy.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master practical big data testing skills in this concise course. Learn to design robust validation for schemas, fields, and referential integrity, detect duplicates and late events, and verify completeness and accuracy with counts, hashes, and sampling. Explore real-world pipelines, automation with modern data quality tools, and performance testing so your data products stay reliable, scalable, and ready for critical decisions.
Elevify advantages
Develop skills
- Design robust big data validation tests: ranges, formats, nulls, and duplicates.
- Build practical data contracts and schema checks for evolving big data pipelines.
- Implement automated data quality gates with Great Expectations, Deequ, and CI/CD.
- Monitor big data SLOs with dashboards for freshness, drift, and SLA adherence.
- Run performance and scalability tests to detect skew, bottlenecks, and failures.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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