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Data Engineering Course

Data Engineering Course
4 to 360 hours of flexible workload
certificate valid in your country

What Will I Learn?

This Data Engineering Course equips you with practical skills to design storage for raw and analytics data, select the appropriate warehouse, and construct efficient ingestion pipelines using APIs and message queues. You will learn to model IoT events, validate and enrich data, manage streaming and batch processing, and apply robust data quality, governance, monitoring, and performance optimisation for dependable, scalable analytics.

Elevify Advantages

Develop Skills

  • Design IoT data schemas: model device events for accurate, scalable analytics.
  • Build streaming and batch pipelines: apply Kafka, Spark, and Flink quickly.
  • Implement data quality checks: automate validation, anomaly and schema tests.
  • Optimise data storage: tune partitions, formats, and queries for cost-effective speed.
  • Govern data access: set IAM, lineage, and SLAs for reliable production systems.

Suggested Summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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