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Cloud Computing and Big Data Course

Cloud Computing and Big Data Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Gain hands-on skills to build and manage cloud-based data platforms. Master ingesting data from e-commerce, marketing, and streams, creating batch and real-time pipelines, plus designing data lakes and warehouses. Learn security, governance, scaling, reliability, and cost savings while comparing AWS, Azure, and GCP services for top analytics results.

Elevify advantages

Develop skills

  • Choose the best cloud platform like AWS, Azure, or GCP for big data needs quickly.
  • Design data lakes and warehouses with proper zones, formats, and schemas for business intelligence.
  • Build efficient real-time and batch pipelines for low-latency ETL and streaming data flows.
  • Ensure reliability and control costs with scalable, monitored, and optimized data stacks.
  • Implement security and governance using IAM, encryption, data lineage, and detailed access controls.

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 purchased the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
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 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 extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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