Azure Data Engineering Course
What will I learn?
Lɛn di impɔtant tin dɛn bɔt Azua Data Injiniarin wit wi kos we dɛn mek fɔ teknoɔlɔji pipul dɛn. Go insay di we dɛn fɔ prɔses data bay yuzin Azua Sinaps ɛn Databrik, mek di wok go fasta, ɛn chenj data fayn fayn. Luk di strong ples dɛn fɔ kip data lɛk Azua Data Lek ɛn Blɔb Stɔrej, ɛn lɛn aw fɔ pik di wan we fit yu bɛst. Gɛt idea bɔt Azua savis dɛn, di we dɛn fɔ tek data insay, ɛn aw fɔ mek payplayn, so dat tin dɛn go ebul fɔ gro ɛn wok fayn. Impruv yu skil dɛn fɔ tɛst, mek tin dɛn go fayn, ɛn aks kwɛshɔn wit Azua Sinaps so yu go ebul fɔ gɛt data ɛn du ɛnalitik fayn fayn.
Develop skills
Enhance your practical skills in the areas listed below.
Masta Azua Sinaps: Mek data prɔsesin ɛn ɛnalitik wok fayn fayn.
Mek Wok Go Fasta: Chenj data prɔsesin so dat i go fasta ɛn wok fayn.
Chenj Data: Yuz Azua Databrik fɔ chenj data fayn fayn.
Pik Stɔrej: Pik di bɛst Azua stɔrej we fit yu fɔ difrɛn tin dɛn.
Mek Payplayn: Mek payplayn we go gro ɛn wok fayn fɔ data.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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 it offers practical and relevant knowledge for your professional journey.