Qeexid
Haro xogeedku wuxuu hayaa xog asal ah oo si fudud loo habeeyay (badanaa oo ku jirta object storage sida S3) si kooxo badan ay ugu baadhaan oo u beddelaan mar dambe. Schema-ga waxaa badanaa lagu dabaqaa marka la akhrinayo (schema-on-read).
Haddii aan la maamulin, harooyinku waxay noqdaan "balliyo xog" — kuwo adag in lagu kalsoomo ama la helo.
Si fudud
Warehouse waxay ku kaydisaa kartoono la calaamadeeyay shelf-yo kor taagan. Haro waa bannaan weyn oo alaabta asalka ah marka hore ku soo dega — jilicsan, laakiin haddii aanad habayn waxaad ku qarqi doontaa tuulmooyinka.
Halka aad ka aragto
- Kaydinta soo-dejinta web crawl-ka iyo codka ka hor inta la dhisayo corpus-yada NLP.
- Kaydka clickstream-ka iyo log-yada mar dambe loo falanqeeyo.
Sida ay u shaqeyso
1.Gali object-yada asalka ah
Dejinta file-yada kaydka jaban ee la sii kordhin karo.
2.Cataloog
Diiwaan geli dataset-yada, milkiilayaasha, iyo schema-yada.
3.Beddel hoos
ETL/ELT geeya warehouse-yada ama dataset-yada tababarka.
Maxay muhiim u tahay
- Harooyinku waa halka xogta tababarka AI-ga casriga ah ay badanaa ku noolaato ka hor in la nadiifiyo.
Inta badan la khaldo
Haro xogeed wuxuu beddelaa baahida naqshadaynta.
Wali waxaad u baahan tahay nadiifin, calaamadayn, iyo heshiisyo cad si loo helo ML production ah.