The following slides introduce some popular terms of data processing and management, but are not trying to improve your development skills.

Slide 15.1: Data science
Slide 15.2: Data engineering roadmap
Slide 15.3: Data scientist vs data engineer
Slide 15.4: Data scientist vs data engineer (cont.)
Slide 15.5: Data scientist vs data engineer (cont.)
Slide 15.6: Data scientist vs data engineer (cont.)

Slide 15.7: Key data terms
Slide 15.8: Data pipeline
Slide 15.9: Data pineline (cont.)

Slide 15.10: Data fusion
Slide 15.11: Data fusion (cont.)
Slide 15.12: Data fusion (cont.)

Slide 15.13: Data warehouse (DWH)
Slide 15.14: Data warehouse (cont.)
Slide 15.15: Data warehouse (cont.)

Slide 15.16: OLAP (online analytical processing)
Slide 15.17: OLAP (cont.)
Slide 15.18: OLAP (cont.)

Slide 15.19: Data lake
Slide 15.20: DevOps
Slide 15.21: DevOps (cont.)

  ☂ References

Slide 15.a: Data processing and management
Slide 15.b: ByteByteGo engineering visual guides








      Maybe if we tell people the brain is an app,    
      they will start using it.