13.6: Assessments

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Page ID: 58352

Felix Amoruwa
De Anza College

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Learning Objectives

Compare cloud analytics services across AWS (Redshift, Athena, QuickSight), Azure (Synapse, Data Lake, Power BI), and GCP (BigQuery, Dataflow, Looker).
Describe serverless analytics architectures and their four-layer model (ingest, store, process, serve).
Apply cost optimization strategies: reserved instances, spot instances, storage tiering, and query optimization.
Analyze real-world case studies of cloud analytics in retail, healthcare, finance, and manufacturing.
Evaluate best practices for data governance, security, vendor lock-in, and pipeline reliability in cloud analytics.
Design a cloud analytics architecture for a given business scenario.

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