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

Slide 16.1: Data science
Slide 16.2: Data engineering roadmap
Slide 16.3: Data scientist vs data engineer
Slide 16.4: Data scientist vs data engineer (cont.)
Slide 16.5: Data scientist vs data engineer (cont.)
Slide 16.6: Data scientist vs data engineer (cont.)

Slide 16.7: Key data terms
Slide 16.8: Data pipeline
Slide 16.9: Data pineline (cont.)

Slide 16.10: Data fusion
Slide 16.11: Data fusion (cont.)
Slide 16.12: Data fusion (cont.)

Slide 16.13: Data warehouse (DWH)
Slide 16.14: Data warehouse (cont.)
Slide 16.15: Data warehouse (cont.)

Slide 16.16: OLAP (online analytical processing)
Slide 16.17: OLAP (cont.)
Slide 16.18: OLAP (cont.)

Slide 16.19: Data lake
Slide 16.20: DevOps
Slide 16.21: DevOps (cont.)

  ☂ References

Slide 16.a: Data processing and management
Slide 16.b: ByteByteGo engineering visual guides








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