Amazon Kinesis

Module 1: Introduction to Streaming and Kinesis

• Streaming concepts and use cases
• Overview of Kinesis suite: Data Streams, Firehose, Analytics, Video Streams

Module 2: Setting Up Data Streams

• Creating and configuring Kinesis Data Streams
• Producers, consumers, and partition keys

Module 3: Data Ingestion and Delivery Writing producers for real-time ingestion Managing consumers and data retrieval Kinesis Data Firehose for delivery to S3, Redshift, Elasticsearch

Module 4: Real-Time Processing and Analytics

• Using Kinesis Data Analytics (SQL & Apache Flink)
• Writing real-time queries and analytics applications

Module 5: Security and Access Control

• IAM roles and policies for Kinesis
• Encryption and data privacy

Module 6: Monitoring, Scaling, Optimization

• CloudWatch integration for metrics and alarms
• Shard scaling and performance tuning
• Cost management practices

Module 7: Integrations and Automation

• Integrating with Lambda, Glue, and other AWS services
• Automating pipelines with CLI, SDKs, CloudFormation

Module 8: Advanced Features and Use Cases

• Handling late-arriving and out-of-order data
• Geo-distributed streaming, replay, and retention

Module 9: Capstone Project

• Building end-to-end real-time streaming analytics workflow with Kinesis

Experience in the Industry Gain knowledge from experts with practical Amazon Kinesis project experience in a variety of sectors.

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Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.

Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.

Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.