Easily collect, process, and analyze video and data streams in real time with Amazon Kinesis.

Amazon Kinesis makes it easy for you to collect, process, and analyze real-time streaming data. You can get timely insights and react quickly to new information.

With this Building Streaming Data Analytics Solutions on AWS course, you will gain in-depth knowledge of Amazon Kinesis and Amazon MSK. You will be able to build a streaming data analytics solution on AWS that meets your specific needs.

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Overview

Learn to design and implement streaming data analytics solutions using AWS Services with an expert AWS instructor.

This Building Streaming Data Analytics Solutions on AWS course dives deep into Amazon Kinesis and Amazon MSK through a mixture of instructor-led presentations, practice labs, demonstrations, and class exercises so you can walk away understanding how to build a streaming data analytics solution on AWS.

You’ll also learn how to scale streaming applications using Amazon Kinesis, optimize data storage, how to select and deploy appropriate options to ingest, transform, store, and analyze data, and more.

Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2022-2025 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings.

Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.

Skills Covered

In this course, you will learn to:

  • Understand the features and benefits of a modern data architecture. Learn how AWS streaming services fit into a modern data architecture.
  • Design and implement a streaming data analytics solution
  • Identify and apply appropriate techniques, such as compression, sharding, and partitioning, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store real-time and near real-time data
  • Choose the appropriate streams, clusters, topics, scaling approach, and network topology for a particular business use case
  • Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
  • Secure streaming data at rest and in transit
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices

Prerequisites

We recommend that attendees of this course have:

  • At least one year of data analytics experience or direct experience building real-time applications or streaming analytics solutions. We suggest the Streaming Data Solutions on AWS whitepaper for those that need a refresher on streaming concepts.
  • Completed either Architecting on AWS or Data Analytics Fundamentals
  • Completed Building Data Lakes on AWS

Target Audience

This official AWS training is intended for:

  • Data engineers and architects
  • Developers who want to build and manage real-time applications and streaming data analytics solutions

Course Curriculum

Module A: Overview of Data Analytics and the Data Pipeline

  • Data analytics use cases
  • Using the data pipeline for analytics

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 4: Securing, Monitoring, and Optimizing Amazon Kinesis

  • Optimize Amazon Kinesis to gain actionable business insights
  • Security and monitoring best practices

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

Module B: Developing Modern Data Architectures on AWS

  • Modern data architectures

Dates & Locations

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July 16, 2026 - July 16, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1800

July 16, 2026 - July 16, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1800

October 15, 2026 - October 15, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1800

October 15, 2026 - October 15, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1800
Trainocate exam and cert

Exam & Certification

There is no exam directly associated with this course. However, AWS offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Achieving AWS credentials is one of the most effective ways to validate your skills and accelerate your career.

With our expert-led training, you’ll be prepared to:

  • Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
  • Prove your expertise with a globally respected credential recognized by employers worldwide.
  • Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.

Explore our top AWS Certifications for 2026 and start building the skills that matter today.

Training & Certification Guide

AWS-BDAS: Building Data Analytics Solutions Using Amazon Redshift

The course dives deep into the Amazon Redshift service and the current thinking in building and operating data analytics pipelines to turn data into insights. You can ask questions and get real-time feedback from expert AWS instructors to immediately apply to your data analytics solutions. You’ll build a data warehouse analytics workflow based on a real-world scenario with the content learned through tutorials, hands-on labs, discussion, demonstration, presentations, and group exercises.

AWS-BBDAS: Building Batch Data Analytics Solutions on AWS

In this AWS-BBDAS: Building Batch Data Analytics Solutions on AWS course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation.

AWS-AVAUAQ: Authoring Visual Analytics Using Amazon QuickSight

In this Authoring Visual Analytics Using Amazon QuickSight course, you will build a data visualization solution using Amazon QuickSight. QuickSight allows everyone in your organization to understand your data by exploring through interactive dashboards, asking questions in natural language, or automatically looking for patterns and outliers powered by machine learning.

Invest in your team’s cloud future: Master AWS with 600+ courses, labs, and interactive experiences, elevate your team’s cloud expertise with AWS Skill Builder Team Subscription.

Frequently Asked Questions

You don’t need to be a technologist to benefit from learning cloud basics. By learning the AWS Cloud, you’ll gain first-hand knowledge of how the cloud can support greater efficiency, flexibility, and opportunity for both you and your organization.

You’ll also gain confidence in your ability to consider cloud options, so you’re better informed when making business and management decisions involving the cloud. By investing in training, organizations can accelerate cloud adoption, achieve business objectives sooner, and overcome concerns related to cloud adoption. Also, comprehensively trained organizations are nearly three times more likely to use the cloud to jump-start innovation. They’re also nearly four times more likely to meet cloud ROI requirements, and over four times more likely to overcome operational and performance concerns.

AWS Certification helps learners build credibility and confidence by validating their cloud expertise with an industry-recognized credential and organizations identify skilled professionals to lead cloud initiatives using AWS. Just like learning music theory enables you to jam, a strong grounding in cloud principles empowers you to creatively explore cloud options.

Having the skills and insight to act upon your creativity and inspiration is essential to discovering new business opportunities in the cloud and helping your organization innovate. You’ll be able to experiment with AWS Cloud services, quickly testing products and implementing strategies to determine what best delivers your organizational goals.

You will learn directly from AWS experts who have domain experience and access to the latest AWS Cloud products, services, and teaching methods. These AWS expert-led courses will increase your credibility as someone who uses and makes decisions about cloud services.

Building clouds skills through high-quality digital training can also support the credibility of your entire organization. When your technologists and strategists are well trained in cloud skills, they can more easily project confidence about your cloud strategy.

AWS Training and Certification helps you build and validate your cloud skills so you can get more out of the cloud. We offer both digital and classroom training—delivered virtually and in person—so you can choose to learn online at your own pace or learn best practices from an instructor. AWS Training and Certification offers prescriptive learning paths to get you started quickly. Progress along the path from foundational to intermediate training, and then dive deeper with advanced training to continue your learning.

We offer technical role-based learning paths for architects, developers, and operations staff. We also offer a Cloud Practitioner learning path for business decision makers who want to learn AWS Cloud fundamentals. Additional solutions-based learning paths focus on topics like machine learning, storage, data analytics, and security.

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