Module 1: Using Streaming Services in the Data Analytics Pipeline The importance of streaming data analytics The streaming data analytics pipeline Streaming concepts

Module 2: Introduction to AWS Streaming Services Streaming data services in AWS Amazon Kinesis in analytics solutions Demonstration: Explore Amazon Kinesis Data Streams Practice Lab: Setting up a streaming delivery pipeline with Amazon Kinesis Using Amazon Kinesis Data Analytics Introduction to Amazon MSK Overview of Spark Streaming

Module 3: Using Amazon Kinesis for Real-time Data Analytics Exploring Amazon Kinesis using a clickstream workload Creating Kinesis data and delivery streams Demonstration: Understanding producers and consumers Building stream producers Building stream consumers Building and deploying Flink applications in Kinesis Data Analytics Demonstration: Explore Zeppelin notebooks for Kinesis Data Analytics Practice Lab: Streaming analytics with Amazon Kinesis Data Analytics and Apache Flink

Module 5: Using Amazon MSK in Streaming Data Analytics Solutions Use cases for Amazon MSK Creating MSK clusters Demonstration: Provisioning an MSK Cluster Ingesting data into Amazon MSK Practice Lab: Introduction to access control with Amazon MSK Transforming and processing in Amazon MSK

Module 6: Securing, Monitoring, and Optimizing Amazon MSK Optimizing Amazon MSK Demonstration: Scaling up Amazon MSK storage Practice Lab: Amazon MSK streaming pipeline and application deployment Security and monitoring Demonstration: Monitoring an MSK cluster

Module 7: Designing Streaming Data Analytics Solutions Use case review Class Exercise: Designing a streaming data analytics workflow