Architecture Big Data Complète

Hard 30 points

Concevez une architecture Big Data complète : ingestion, stockage, traitement, analyse.

Une architecture complète intègre l'ingestion (Kafka, Flume), le stockage (HDFS, S3), le traitement (Spark, Hadoop), l'analyse (Hive, Presto), et la visualisation (Tableau, Power BI).

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Hint
Pensez au pipeline complet : de l'ingestion à la visualisation

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