Building Streaming Data Analytics Solutions on AWS Course in Saudi Arabia
Learn to build cutting-edge streaming solutions with AWS Kinesis and MSK
Gain practical skills by working on real-time data streaming projects
Position yourself for top roles in data engineering and analytics
Get guided by AWS-certified professionals with real-world experience
Study at your own pace with both live and self-paced formats
Stand out with a highly sought-after AWS certification in streaming data analytics
Easy and Hassle-free payment plans
4.7/54595 EnrolledEnrolled Learners
4.7/54595 EnrolledEnrolled Learners
Overview
What our training includes
- Provides hands-on experience with AWS Kinesis and MSK
- Offers in-depth training on Apache Flink
- Develops expertise in designing scalable streaming data architectures
- Prepares you to secure, monitor, and optimise streaming data
- Offers practical applications for real-time analytics solutions
- Prepares you for AWS certification in streaming data analytics
Upcoming sessions
Curriculum
1
Data analytics use cases
2
Using the data pipeline for analytics
1
The importance of streaming data analytics
2
The streaming data analytics pipeline
3
Streaming concepts
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
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
9
Analytics and Apache Flink
1
Optimize Amazon Kinesis to gain actionable business insights
2
Security and monitoring best practices
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
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
1
Use case review
2
Class Exercise: Designing a streaming data analytics workflow
1
Modern data architectures
Meet your Trainer
Our Trainer
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Objectives
Upon finishing the training, you will:
1
Learn to design and implement real-time data pipelines using AWS tools
2
Gain hands-on experience in building real-time analytics using Apache Flink
3
Create efficient, high-performance data pipelines capable of handling large data volumes
4
Understand security best practices and optimize streaming pipeline performance on AWS
5
Develop expertise in ingesting and processing real-time data using AWS services
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Overall ratings by our students
Related courses
Frequently asked questions
The Building Streaming Data Analytics Solutions on AWS course in Saudi Arabia trains professionals to design and implement scalable batch data analytics solutions using AWS services. Our extensive training program focuses on all the key components of AWS ecosystem such as Amazon EMR, Apache Spark, and AWS Glue.
You will learn data ingestion, processing, and transformation techniques. Furthermore, through expert-led classes you will learn to manage AWS environments for optimised data processing workflows.
This course is ideal for data engineers, architects, and operators with a basic understanding of data analytics and cloud computing. Although no prior experirnce is required, however, a background in data engineering, software development, or a related field would be beneficial for participants.
Participants learn how streaming analytics solutions are built using:
- Amazon Kinesis for real-time data ingestion and stream handling
- Amazon MSK (Managed Streaming for Apache Kafka) for building and operating Kafka-based streaming pipelines on AWS
- Apache Flink for real-time stream processing and analytics within the pipeline
- End-to-end streaming pipeline design that links ingestion → processing → optimisation for performance and reliability
Individuals who have completed this course on Building Streaming Data Analytics on AWS can pursue a wide range of job roles across various industries in Saudi Arabia. Some of them are as follows:
1. Data Engineer
2. AWS Solution Architect
3. Cloud Developer
4. Big Data Developer
5. AWS Data Engineer
6. Analytics Consultant
Completing this course boosts your career by demonstrating proficiency in industry-leading AWS tools and techniques for data processing. With the demand for cloud and data professionals rising, this certification enhances your marketability and sets you apart in the competitive job market.
The Building Streaming Data Analytics Solutions on AWS training covers security and monitoring best practices for streaming systems, including how to operate pipelines with performance and data protection in mind. Learners also study optimisation methods for streaming architectures and how to improve reliability for high-volume event processing. This is particularly valuable for Saudi teams operating always-on digital services where uptime and observability are critical.
Do you want to learn more about Learners Point Academy?
- Learn more about courses
- Understand about our methodology
- Let’s talk about Corporate trainings
- Anything else that you want to know, we are here for you!
