Analytics and Streaming Service Selection
Stream real-time data with Kinesis Data Streams, build Firehose-to-S3 ingestion pipelines, query S3 data with Athena, and master the analytics service selection decision framework -- Kinesis vs MSK, Athena vs Redshift vs EMR vs OpenSearch -- critical for SAP-C02 Data Architecture and Performance Architecture scenarios.
Lab Overview
Master AWS analytics and streaming service selection for the SAP-C02 exam. Build real-time data pipelines with Kinesis Data Streams and Kinesis Firehose, query S3 data with Athena, and develop a systematic decision framework for selecting between Kinesis vs MSK, Athena vs Redshift vs EMR vs OpenSearch, and understanding Glue Data Catalog patterns. Hands-on streaming combined with architecture analysis of blocked services (MSK, Redshift, EMR, OpenSearch) ensures you can answer every analytics-related exam question with confidence.
What You'll Learn
Design and implement Kinesis Data Streams pipelines with shard-based producers and consumers for real-time streaming workloads
Configure Kinesis Firehose to deliver streaming data to S3 with buffer-based batching and IAM role-based delivery
Query data in S3 using Athena with external table definitions and partition optimization
Compare Kinesis Data Streams vs Firehose vs MSK and select the appropriate streaming service based on workload requirements
Evaluate Athena vs Redshift vs EMR vs OpenSearch for analytical query patterns and data warehousing scenarios
Understand Glue Data Catalog architecture and its role in enabling Athena, Redshift Spectrum, and EMR queries
Build a systematic service-selection decision matrix for SAP-C02 Data Architecture exam questions
Prerequisites
Understanding of basic AWS CLI operations
Familiarity with S3 bucket creation and management
Basic knowledge of streaming concepts (producers, consumers, shards)
Comfortable with Linux terminal
Technologies Covered
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