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Building Streaming Data Analytics Solutions on AWS

Last Updated: 08-03-2025

The Building Streaming Data Analytics Solutions on AWS course is designed for professionals who want to learn how to build and manage scalable, real-time data analytics solutions using AWS services. This hands-on course will guide you through the key AWS tools and architectures for handling streaming data, including Amazon Kinesis, AWS Lambda, and Amazon Redshift. You’ll gain practical experience in building data pipelines, processing real-time streams, and performing analytics on large-scale data streams to generate actionable insights.

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February 28th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
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March 01st
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 02nd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 07th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 08th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 09th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 14th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 15th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 16th - 17th
06:00 AM - 10:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 16th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
Guaranteed-to-Run
20% Off
$320
$256
March 21st
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 22nd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 23rd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
Guaranteed-to-Run
20% Off
$320
$256
March 28th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
March 29th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
April 04th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
April 05th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
April 06th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
April 11th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
April 12th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
April 13th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
April 18th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
April 19th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240
April 20th - 21st
06:00 AM - 10:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
25% Off
$320
$240

Course Prerequisites

  • Basic understanding of AWS services like Amazon EC2, S3, and IAM.
  • Familiarity with cloud computing concepts, data processing, and analytics.
  • Recommended: Experience with programming languages like Python or Java, and knowledge of SQL for querying data.

Learning Objectives

By the end of this course, you will be able to:

  1. Design and implement a real-time data streaming architecture using Amazon Kinesis and AWS Lambda.
  2. Set up and manage Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics for stream processing.
  3. Integrate Kinesis with AWS services like S3, Redshift, and Elasticsearch for analytics and storage.
  4. Process and analyze streaming data in real-time to enable quick decision-making.
  5. Build scalable and fault-tolerant systems for continuous data ingestion and analytics.
  6. Use AWS Lambda to process data streams and trigger real-time actions based on incoming data.
  7. Optimize cost and performance for streaming analytics solutions.
  8. Implement best practices for security, data governance, and monitoring in streaming analytics environments.

Target Audience

This course is ideal for:

  • Data engineers, architects, and developers responsible for implementing real-time data processing and analytics solutions.
  • IT professionals and system architects looking to leverage AWS services for streaming data analytics.
  • Machine learning practitioners and data scientists interested in integrating real-time data streams with analytics.
  • Cloud developers and engineers seeking hands-on experience with AWS streaming tools like Kinesis and Lambda.

Course Modules

  • Introduction to Modern Data Architectures:

    • Understanding the features and benefits of data warehouses, data lakes, and modern data architectures.
    • Exploring how AWS streaming services fit into these architectures.

  • Designing Streaming Data Analytics Solutions:

    • Architecting solutions using AWS services such as Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK).
    • Integrating streaming data solutions with AWS services like AWS Glue and AWS Lambda.

  • Optimizing Data Storage:

    • Applying techniques such as compression, sharding, and partitioning to optimize data storage.

  • Data Ingestion, Transformation, and Storage:

    • Selecting and deploying appropriate options for ingesting, transforming, and storing streaming data.

  • Security, Performance, and Cost Management:

    • Implementing best practices for security, performance optimization, and cost management in streaming data solutions.

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What Our Learners Are Saying

The training, courseware, and lab experience were insightful and valuable. Keep up the great work and learning experience!

Nitish A. Anand – Accenture

Course: SC-200: Microsoft Security Operations Analyst
Date: 15th Jan 2025

The instructor was professional and very content.

Justine Daudi Mlimbilah – Bank of Africa, Tanzania

Course: MD-102: Microsoft 365 Endpoint Administrator
Date: 20th Dec 2024

The instructor was so knowledgeable & humble. Rare to find someone so confident but so down to earth these days. So appreciative to him.”

Mohd. Hassan – Ministry of Finance, UAE

Course: AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
Date: 31st July 2024

Instructor is experienced and knowledgeable in guiding.

Dharshini Mahalaxmi – Dr. MGR Education and Research Institute, Chennai, India

Course: SC-300: Microsoft Identity and Access Administrator
Date: 4th May 2024