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Data Engineering Course

Data Engineering Course
flexible workload of 4 to 360h
valid certificate 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 low-cost 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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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