Build cutting-edge streaming solutions with AWS Kinesis & MSK
Gain practical skills by working on real-time data streaming projects
Prepare for top roles in data engineering & analytics
Guidance from AWS-certified professionals with industry experience
Study at your own pace with both live & self-paced formats
Stand out with AWS certification in streaming data analytics
What we are going to teach you:
Upcoming sessions
Data analytics use cases
Using the data pipeline for analytics
The importance of streaming data analytics
The streaming data analytics pipeline
Streaming concepts
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
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
Optimize Amazon Kinesis to gain actionable business insights
Security and monitoring best practices
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
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
Use case review
Class Exercise: Designing a streaming data analytics workflow
Modern data architectures
Upon finishing the training, you will:
1
Master the design and deployment of real-time data pipelines using AWS services
2
Build hands-on skills in real-time analytics with Apache Flink
3
Learn to develop high-performance pipelines that handle large-scale data efficiently
4
Explore security best practices and performance tuning for AWS streaming solutions
5
Gain experience in real-time data ingestion and processing with AWS tools
6
Prepare confidently for the AWS Certified Data Analytics – Specialty exam
Overall ratings by our students
Our Building Streaming Data Analytics Solutions on AWS course in Oman teaches participants how to design and implement real-time data pipelines using AWS services. It focuses on Amazon Kinesis, AWS Lambda, and Amazon Redshift. Learners gain practical experience in streaming architectures, data ingestion, transformation, storage, and visualization. The training helps you build scalable, efficient systems for real-time analytics across a variety of use cases.
This course is great for:
- Data engineers and analysts who work with real-time data
- Cloud architects designing live data pipelines
- IT professionals in analytics and big data projects
- AWS users wanting to specialize in streaming analytics
The major topics that we cover during this training are:
- Basics of streaming data and real-time use cases
- Using Kinesis, Lambda, and Kinesis Data Analytics
- Data storage in Amazon S3 and Redshift
- Real-time dashboards with Amazon QuickSight
- Monitoring, security, and AWS best practices
As demand for real-time data grows, this Building Streaming Data Analytics Solutions on AWS course in Oman gives learners a competitive edge. Our graduates thrive in industries like finance, retail, and healthcare. Participants gain expertise in AWS streaming tools, preparing you to design high-performance data pipelines. These skills open doors to advanced roles and boost your value in Oman’s evolving tech and analytics landscape.
After completing our AWS certification course, learners are able to develop:
- Dashboards for tracking business metrics in real time
- IoT systems that process live sensor data
- Fraud detection tools using streaming analytics
- Real-time recommendation engines for e-commerce
- Social media or website traffic analysis tools
Learn now, pay later
Dive into your course now and pay in installments

