Building Streaming Data Analytics Solutions on AWS Course in Kenya
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
Convenient and hassle-free payment plans
4.7/53655 EnrolledEnrolled Learners
4.7/53655 EnrolledEnrolled Learners
Overview
What you will learn:
- 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 optimize 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 Trainers
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 Outcomes
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
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Frequently asked questions
The Building Streaming Data Analytics Solutions on AWS course in Kenya provides expert training in architecting and implementing real-time data streaming solutions with AWS services such as MSK and Kinesis. It touches upon major areas including designing scalable data pipelines, stream processing with Apache Flink, securing data streams, and optimizing pipeline performance.
Professionals will learn skills in designing real-time data pipelines, processing stream data using Apache Flink, performance optimization of streaming data, security of data pipelines, and monitoring data systems. These hands-on skills are necessary for deploying scalable data analytics solutions in cloud environments.
Experts proficient in data streaming analytics are in great demand across sectors such as:
- Tech & Software Development: Real-time application processing of data.
- Finance & Banking: Real-time detection of fraud and risk management.
- E-commerce & Retail: Real-time analysis of customer behavior.
- Healthcare: Real-time health monitoring systems.
- Telecommunications: Network performance monitoring and optimization.
This certification is accepted worldwide in the data analytics and tech field. AWS certifications are the most prestigious ones in cloud computing, and organizations around the world look for individuals with skills in real-time data analytics. The knowledge you gain can be implemented across industries, particularly in countries such as the UAE, Europe, North America, and Asia.
Completing the Building Streaming Data Analytics Solutions on AWS course provides access to high-demand data engineering, cloud solutions, and real-time data analytics job profiles. It makes your resume and skill set stronger, making you a candidate for the following jobs:
- Data Engineer
- AWS Cloud Architect
- Real-Time Data Analyst
- Streaming Data Specialist
With the increasing importance of real-time data analytics in decision-making roles, these skills are in high demand.
The course consists of major modules that provide you with hands-on experience with AWS services and technologies like Kinesis, MSK, and Apache Flink. Some of the main topics covered are:
- Introduction to real-time data streaming
- Building scalable streaming data pipelines using AWS Kinesis
- Data processing using Apache Flink
- Securing and monitoring streaming data pipelines
- Best practices for performance optimization
Each module consists of theoretical lessons followed by practical labs and quizzes to reinforce learning.
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