Azure Data Engineer Course
What will I learn?
Kulaakulanya obumanyirivu bwo mu Business Intelligence n'Ekitabo kyaffe ku Azure Data Engineer, ekyakolebwa eri abakugu abeegomba okumanya enkyukakyuka mu data, okukebera, n'okutereka nga bakozesa ebikozesebwa eby'amaanyi ebya Azure. Yinga mu kukungaanya data, okuteekateeka, n'okulongoosa nga okozesa Azure Databricks, era weekebeeze engeri entunda ze zikyukaamu n'engeri ebintu bye biterekebwa nga okozesa Azure Synapse. Yiga engeri ennungi ez'okuyingizaamu data nga okozesa Azure Data Factory ne real-time APIs, era olongoose obutereke bw'ebintu nga okozesa Azure SQL Database. Yongera ku bumanyirivu bwo mu kuwandiika obubaka okwanguyiriza empalirizo za data n'okuwa lipooti.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Manya okukungaanya data: Yongera ku kumanya okukozesa enkola ez'amaanyi ez'okukungaanya data.
Longoose engeri data gy'eteekebwateekebwaamu: Teeka mu nkola empisa ennungi ez'okuwa data mu ngeri etegeerekeka.
Longoose data mu ngeri ennungi: Kozesa Azure Databricks okulongoosa data mu ngeri efuna akamuyo.
Kebera engeri ebintu gye bikyukaamu: Kola okukebera engeri entunda ze zikyukaamu nga okozesa Azure Synapse.
Ddukanya obutereke bwa data: Kungaanya era olongoose emmeeza mu Azure SQL Database.
Suggested summary
Workload: between 4 and 360 hours
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
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.