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Amazon SageMaker for ML Workflows
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Apache Airflow ngir liggéey ML
Apache Airflow platform la bu ubbeeku ngir bind, waajal ak saytu ni liggéey bi di doxee ni kode.
Déglul tegtal biiIA-nettali · ~2 min
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Résumé
In machine learning it acts as the conductor that triggers data pipelines, retraining jobs, and batch predictions on a reliable schedule.
Plongeur bu xóot
Airflow ñu ngi ko sos ci Airbnb ci 2014 te leegi projet Apache la. Abstraksioŋ bi ci digg mooy DAG: Graafiku Acyclic buñ Yorandi ci liggéey yiñ joxe ci Python, fu boor yi di def doxalinu jëfandikoo gi ak dependence yi. Ab scheduler dafay jàngat DAG yooyu, xool ban liggéey moo pare, ba noppi yónnee leen ñi leen di def ak liggéeykat yi; interfaasu jëfandikukat web dafay wane jaar-jaaru doxal, log yi ak tolluwaayu liggéey bi. Ci ML, Airflow dañu koy jëfandikoo bu bari ni orchestrator moo gën motëru ordinatër: tàggatul model yi ci boppam waaye dafay tàmbali jéego yu melni génne ay done, gëmloo ko, tàmbali liggéeyu tàggat ci Spark wala pod Kubernetes, ak dugal ci resultaa bi. Operatër yi ak kaptër yi dañuy may liggéey yi ñu woo sistem yi ci biti, xaar fichier yi, wala doxal conteneur yi. Doolam mooy liggéey bu wóor, jéemaat, delloosi, ak gis-gis bu leer ci pipeline yu jafee xam, yu lalu ci waxtu.
Doxal ci àdduna dëgg
Benn kompiñi media dafay doxal bis bu nekk Airflow DAG buy génne log jëfandikukat yi, tàggataat xeetu xalaat, ak yeesal cache biy liggéey.
Benn ekipu e-commerce dafay jëfandikoo ay kaptër ngir xaar fichier done yu jaaykat bi wàcci ci dencukaay cloud bi balaa ñuy tàmbali liggéeyu xayma météo bi ci suuf.
Benn entreprise fintech dafay waajal ay poñ ci waxtu wu nekk, fu Airflow di def benn xeetu conteneur ngir màndargaal jëflante yu wóorul dara.
Benn ekipu done dafay jëfandikoo Airflow backfills ngir defaraat ay weer ci done yu yàgg yi jaaraleko ci gasoduk ingenieur bu bees ginaaw coppite logique.
Ëlëgu Apache Airflow ngir liggéey ML
Airflow 2.x ak 3.x dañu fësal ab waajalkat bu gëna gaaw, TaskFlow API ngir pipeline Python yu gëna set, ak waajal xam done fu DAGs di tàmbali ci yeesali done yi moo gën montor yu fiks. Ngir ML, xaarandi lëkkaloo bu gëna dëgër ak bitik yu am solo ak tàggataat bu lalu ci xew-xew. Airflow dafay gëna taxawal boppam ni couche orchestration biy boole jumtukaayi spesialisasioŋ yu melni dbt, Spark, ak Kubeflow, moo gën ñuy joŋante ak ñoom, di simante liggéeyam ni yaxu ndigg ci done yu bees ak ML stacks.
Teg ko ci jëf
Lu tax mu am solo
- Njëgg ak budget. Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
- dogal yu gëna leer. Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
- Xool kalite. Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Moytul
- Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.
- Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.
- Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.
Jéego yi ci topp
- Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
- Benchmark ci biir sargal ak done yu dëggu.
- Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
- Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
Weyal di banneexu
Bulletin bu amul fayda
Jàngal xibaar AI bu bes
Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.
Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.
Nattal sa bopp
Take the Apache Airflow for ML Workflows quiz
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Laaj yi ñuy faral di laaj
What is Apache Airflow for ML Workflows?
Apache Airflow platform la bu ubbeeku ngir bind, waajal ak saytu ni liggéey bi di doxee ni kode. Ci jàngu masin, dafay nekk njiit liy def pipeline done yi, liggéey yuy tàggataat, ak wax luy am ci lote ci waxtu bu wóor.
Ci Apache Airflow, lan mooy abstraksioŋ bu mag bi ñuy jëfandikoo ngir fësal ab def-liggéey?
Airflow workflows ñu ngi koy màndargaale ni DAGs ci Python, fu liggéey yi nekk ay node ak ay boor yuy màndargaal doxalinu jëfandikoo gi.
Ban cër la Airflow gëna bari luñu koy def ci gasoduc ML?
Airflow orchestrator la: dafay tàmbali ak yor jéego yu melni génne ay done ak tàggat liggéey, moo gën def ordinatër bu diis bi ci boppam.
Ban construct Airflow lañuy jëfandikoo ngir xaar ab anam bu bawoo ci biti, lu melni fichier buy yegsi ci dencukaay bi?
Sensor yi ay operatër yuñ jagleel lañu yuy dakkal def liggéey bi ba keroog ñuy mat, lu melni fichier buy wàcci wala partition buy feeñ.
Lan lay may nga def ci Airflow?
Backfilling dafay def DAG ci diggante yu weesu, lu am njariñ ngir defaraat jaar-jaar ginaaw coppite logique pipeline.
Which Airflow component determines when eligible task instances should be scheduled?
The scheduler evaluates schedules and task eligibility. Upstream success is the default dependency condition, while configured trigger rules can change it.
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