Quiz and Summary
Explore AWS data architectures including serverless analytics with Athena and QuickSight, big data processing using EMR, Glue, and Batch, and real-time streaming via Apache Flink and Timestream. Learn to design data pipelines that balance latency, cost, and operational needs while mastering service selection for workload optimization.
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This chapter covered three interconnected domains of AWS data architecture: serverless analytics using Athena and QuickSight, big data processing with EMR, Glue, and Batch, and real-time streaming with Apache Flink, Data Exchange, and Timestream. Together, these services form AWS-preferred patterns for handling ad hoc queries, batch ETL, and continuous event processing at scale.
Serverless analytics
Amazon Athena enables serverless SQL queries directly on data stored in Amazon S3 using a ...