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Cloud Data Engineering Course

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What will I learn?

ናይ Business Intelligence ክእለትካ/ኺ ኣብ Cloud Data Engineering ትምህርቲ ብምውሳድ ኣዕብዮ/ኺ። ከም ምጽራይ ሓበሬታን ምቕያር ኣገባባትን፣ ከምኡ’ውን ዘይምልኡ ሓበሬታ ምምላእን ዓይነት ሓበሬታ ምእራምን ዝመሳሰሉ ክእለታት ተማሃሩ/ኺ። ብ Google Data Studio, Amazon QuickSight, ከምኡ’ውን Power BI ዝኣመሰሉ መሳርሒታት ብምጥቃም ኣብ Cloud ዝተመርኮሰ Data Visualization ተማሃሩ/ኺ። ብዛዕባ AWS, Google Cloud, ከምኡ’ውን Microsoft Azure ዝኣመሰሉ ናይ Cloud ኣገልግሎት ዝህቡ ትካላት ኣስተውዕሎት ይሃብኩም። ፕሮጀክትታት ብትኽክል ከመይ ጌርካ/ኺ ከም እትሰነዱ/ድዪን ኣብ Cloud data processing ከምኡ'ውን storage solution ከመይ ከምዝግበር ተወከሱ/ኺ። ናይ ሓበሬታ ክእለትካ/ኺ ንምዕባይ ሕጂ ተመዝገቡ/ኺ።

Apoia's Unique Features

Unlimited access to courses for life
Certification aligned with educational standards
Printable PDF summaries
Always-available online support
Select and arrange the chapters you want to study
Customize your course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Enhance your practical skills outlined below

ምጽራይ ሓበሬታ ምምላእ፣ ዘይምልኡ ሓበሬታ ምምላእን ዓይነት ሓበሬታ ብግቡእ ምእራምን።

ሓበሬታ ብምስሊ ምግላጽ፤ Google Data Studioን Power BIን ብምጥቃም መሃሪ ምስልታት ፍጠሩ/ኺ።

ፕሮጀክትታት ሰነዱ/ኺ፤ ንኹሉ ዝሓወሰ ሰነዳት ፕሮጀክት ዝበለጹ ተርእዮታት ተማሃሩ/ኺ።

ናይ Cloud ኣገልግሎታት ተመላለሱ/ኺ፤ AWS, Google Cloud, ከምኡ'ውን Microsoft Azure መድረኻት ተረድኡ/ኺ።

ኣብ Cloud ሓበሬታ ኣካይዱ/ኺ፤ Azure Data Factory, Google Dataflow, ከምኡ'ውን AWS Glue ተጠቐሙ/ኺ።

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change chapters and workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.