Building Streaming Data Analytics Solutions on AWS Course

Last Updated: 29 09 2025

The building streaming data on the AWS course is designed to equip professionals and solutions with expertise to process real -time streaming data using AWS services using AWS services. In this practical training, Amazon managed Kinesis Data Stream, Data Analytics, AWS and Amazon Streaming for Apache Kafka (Amazon MSK).

This course is the best training company, and enable learners to design scalable, secure and effective streaming data lines. Learners have practical experience in completing, changing and analysing streaming data, which enables fast business insights and data -driven decisions.

This course is ideal for computer engineers, cloud architects and developers who demand to modernize data processing with real -time analysis. The course is in accordance with today's industry practice and AWS architecture structure and ensures updated and job-tailor skills.

We are recognized as the best IT training company, and offer laboratories on the instructor's sessions, the real world uses things and hands to help individuals create strong streaming solutions at AWS. Either for individual development or business Upscaling, this program is designed to meet dynamic business requirements.

Our status as a reliable, best corporate training company by managing companies ensures that organizations receive specialized solutions to accelerate digital changes through advanced cloud analysis. 

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Learning Options for You

  • Live Training (Duration : 8 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Experience: At least one year of experience in data analytics or building real-time applications.
  • Foundational Knowledge: Completion of either "Architecting on AWS" or "Data Analytics Fundamentals" courses.
  • Additional Course: Completion of "Building Data Lakes on AWS" is recommended.
  • Optional Reading: Reviewing the "Streaming Data Solutions on AWS" whitepaper is suggested for a refresher on streaming concepts.

Learning Objectives

This one-day intermediate-level course equips professionals with the skills to design and implement streaming data analytics solutions using AWS services like Amazon Kinesis and Amazon MSK. Participants will learn to optimize data storage, select appropriate tools for data ingestion, transformation, and storage, and apply best practices for security, performance, and cost management. The course includes hands-on labs and real-world scenarios to reinforce learning.

Target Audience

  • Data Engineers: Professionals responsible for building and maintaining data pipelines.
  • Data Architects: Individuals designing data architectures and systems.
  • Developers: Software developers aiming to integrate real-time data analytics into applications.
  • Solutions Architects: Professionals designing scalable and efficient data solutions.
  • Cloud Engineers: Engineers focusing on cloud-based data infrastructure and services.

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