13.1: Cloud Analytics Landscape

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Page ID: 48145

Felix Amoruwa
De Anza College

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Cloud Analytics Landscape

Modern analytics stacks typically ingest large volumes of structured and unstructured data into cloud object storage (data lakes) and use managed compute services for processing and analysis. For example, public clouds like AWS, Azure, and Google Cloud each offer integrated analytics suites that combine data storage, ETL (extract-transform-load), warehousing, and BI tools. These platforms handle heavy compute and storage elastically, enabling organizations to focus on data insights rather than hardware management. Cloud analytics stacks are often highly automated: managed services simplify tasks like schema management, auto-scaling, and security configuration, and users pay only for actual usage (compute-seconds, data scanned).

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