Building Streaming Data Analytics Solutions on AWS Course
Learn to build cutting-edge streaming solutions with AWS Kinesis & MSK
Attain practical skills by working on real-time data streaming projects
Prepare for top roles in data engineering & analytics
Guidance from AWS-certified professionals with real-world experience
Study at your own pace with both live & self-paced formats
Stand out with AWS certification in streaming data analytics
Convenient & hassle-free payment plans
4.7/53655 EnrolledEnrolled Learners
4.7/53655 EnrolledEnrolled Learners
Overview
What our training includes:
- Offers hands-on training with AWS Kinesis & MSK
- Prepares you to use Apache Flink effectively
- Delivers skills to design scalable streaming systems
- Trains you to secure & optimize data pipelines
- Provides real-time analytics applications
- Builds readiness for AWS streaming Certification
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 build real-time data pipelines with AWS tools
2
Get practical experience with Apache Flink for live analytics
3
Design fast, efficient pipelines for large data streams
4
Understand security and performance for streaming workflows
5
Attain skills in processing and ingesting real-time data
6
Prepare for the AWS Certified Data Analytics exam
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
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.
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Frequently asked questions
This Building Streaming Data Analytics Solutions on AWS course teaches professionals to design, manage, and optimise live data pipelines using AWS services like Amazon Kinesis, Amazon MSK, and Apache Flink. Our experienced educators teach ways to create scalable streaming architectures, handle continuous data flows, and apply best practices in security and monitoring.
After earning the Building Streaming Data Analytics Solutions on AWS Certification, professionals are eligible to apply for several roles, like:
● Streaming Data Engineer
● AWS Cloud Data Architect
● Real-Time Analytics Developer
● Apache Flink Developer
● Big Data Engineer
Through hands-on lab activities, professionals practice working with tools like Amazon Kinesis, MSK, Apache Flink, and Zeppelin. Our experienced instructors provide constant guidance and support throughout the learning process.
Security and monitoring are essential concepts discussed in this training. You learn about:
● IAM roles and data protection for both Kinesis and MSK
● Monitoring metrics and logs with AWS CloudWatch
● Best practices for scaling and optimising pipelines
This Building Streaming Data Analytics Solutions on AWS Training combines theoretical learning with practical labs and sample projects, including:
● Setting up and testing a streaming pipeline
● Processing live input data with Flink
● Monitoring pipeline performance using AWS tools
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