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Cloud Data Migration and Optimization Course

Cloud Data Migration and Optimization Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

The Cloud Data Migration and Optimisation Course provides a practical roadmap to transfer 5 TB and more into a secure, high-performing cloud analytics stack. Learn to assess on-prem systems, select the appropriate provider and architecture, tune queries and storage, optimise pipelines and compute, control costs with FinOps practices, manage risk and compliance, and execute a low-downtime migration with confidence.

Elevify advantages

Develop skills

  • Design cloud analytics: select storage, compute, and network for 5+ TB data.
  • Plan low-risk migrations: assess on-prem, map services, and cut over safely.
  • Tune performance: optimise queries, caching, and pipelines for fast analytics.
  • Enforce security and compliance: IAM, encryption, data governance, and DR.
  • Control cloud spend: right-size, autoscale, and apply FinOps cost governance.

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 interest without needing to change platforms... I'm grateful 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 and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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