Building Streaming Data Analytics Solutions on AWS

Master the art of real-time data processing with our 'Building Streaming Data Analytics Solutions on AWS' course, designed for developers and data engineers aiming to leverage AWS services like Amazon Kinesis and Amazon MSK for scalable, secure streaming analytics.

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Essential Skills Gained

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Understand modern data architecture and AWS streaming services integration.

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Design and implement effective streaming data analytics solutions.

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Apply best practices for security, performance, and cost management.

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Select and deploy appropriate data ingestion and processing options.

Format

  • Instructor-led
  • 1 days with lectures and hands-on labs.

Audience

  • Data engineers and architects
  • Developers seeking real-time streaming solutions
  • IT professionals managing AWS environments
  • Business analysts interested in data analytics

Description

In this course, you will learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon Kinesis is a massively scalable and durable real-time data streaming service. Amazon MSK offers a secure, fully managed, and highly available Apache Kafka service. You will learn how Amazon Kinesis and Amazon MSK integrate with AWS services such as AWS Glue and AWS Lambda. The course addresses the streaming data ingestion, stream storage, and stream processing components of the data analytics pipeline. You will also learn to apply security, performance, and cost management best practices to the operation of Kinesis and Amazon MSK.

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Upcoming Course Dates

August 7-7, 2025

9:00 AM - 5:00 PM

Virtual: Online - US/Eastern

Enroll

$675

September 26-26, 2025

9:00 AM - 5:00 PM

Virtual: Online - US/Eastern

Enroll

$675

October 16-16, 2025

6:00 AM - 2:00 PM

Virtual: Online - America/Los_Angeles

Enroll

$675

Course Outline

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Module A: Overview of Data Analytics and the Data Pipeline

  1. Data analytics use cases

  2. Using the data pipeline for analytics

Module 1: Using Streaming Services in the Data Analytics Pipeline

  1. The importance of streaming data analytics

  2. The streaming data analytics pipeline

  3. Streaming concepts

Module 2: Introduction to AWS Streaming Services

  1. Streaming data services in AWS

  2. Amazon Kinesis in analytics solutions

  3. Demonstration: Explore Amazon Kinesis Data Streams

  4. Practice Lab: Setting up a streaming delivery pipeline with Amazon Kinesis

  5. Using Amazon Kinesis Data Analytics

  6. Introduction to Amazon MSK

  7. Overview of Spark Streaming

Module 3: Using Amazon Kinesis for Real-time Data Analytics

  1. Exploring Amazon Kinesis using a clickstream workload

  2. Creating Kinesis data and delivery streams

  3. Demonstration: Understanding producers and consumers

  4. Building stream producers

  5. Building stream consumers

  6. Building and deploying Flink applications in Kinesis Data Analytics

  7. Demonstration: Explore Zeppelin notebooks for Kinesis Data Analytics

  8. Practice Lab: Streaming analytics with Amazon Kinesis Data Analytics and Apache Flink

Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis

  1. Optimize Amazon Kinesis to gain actionable business insights

  2. Security and monitoring best practices

Module 5: Using Amazon MSK in Streaming Data Analytics Solutions

  1. Use cases for Amazon MSK

  2. Creating MSK clusters

  3. Demonstration: Provisioning an MSK Cluster

  4. Ingesting data into Amazon MSK

  5. Practice Lab: Introduction to access control with Amazon MSK

  6. Transforming and processing in Amazon MSK

Module 6: Securing, Monitoring, and Optimizing Amazon MSK

  1. Optimizing Amazon MSK

  2. Demonstration: Scaling up Amazon MSK storage

  3. Practice Lab: Amazon MSK streaming pipeline and application deployment

  4. Security and monitoring

  5. Demonstration: Monitoring an MSK cluster

Module 7: Designing Streaming Data Analytics Solutions

  1. Use case review

  2. Class Exercise: Designing a streaming data analytics workflow

Module B: Developing Modern Data Architectures on AWS

  1. Modern data architectures

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