Amazon Kinesis - Streaming Data
Description
Real-time data streaming and processing using Amazon Kinesis services including Data Streams, Data Firehose, and Data Analytics.
Learning Objectives
Learners will master real-time data streaming concepts, implement Kinesis Data Streams for high-throughput ingestion, configure Kinesis Data Firehose for managed delivery, and utilize Kinesis Data Analytics for stream processing applications.
Topics (6)
Kinesis Data Streams concepts, shard management, producers and consumers, scaling strategies, and performance optimization.
Firehose delivery streams, data transformation, format conversion, error handling, and destination configuration.
Stream processing concepts, SQL on streams, Apache Flink applications, windowing, and real-time analytics patterns.
Lambda integration, S3 delivery, Redshift loading, ElasticSearch indexing, and CloudWatch monitoring for Kinesis.
CloudWatch metrics, logging, error handling, performance optimization, and troubleshooting strategies for Kinesis services.
Streaming vs batch processing, real-time use cases, streaming architectures, and considerations for building streaming data pipelines.