依頼内容
“Create a top-down cloud data lake architecture flowchart: operational databases, IoT, and logs enter batch or stream ingestion, then a raw data lake, processing, and a data-quality check. Send passing data to cleaned storage and a data catalog, failed data to quarantine, then serve analytics, machine-learning models, and data APIs to end users.”
次はこちらAdd a data-retention policy after the raw data lake.Add a data steward review for quarantined data.
この図に含まれるもの
図の背後にある意思決定を読み解く。
01
Ingestion method (batch vs. streaming) based on data velocity and latency requirements
02
Data quality check outcome (pass to clean zone, fail to quarantine)
Reusable for any cloud data lake implementation requiring scalable ingestion, storage, processing, and analytics, with configurable quality gates.