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
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
Design real-time streaming pipelines with AWS tools
2
Apply Apache Flink for real-time analytics use cases
3
Handle large data volumes through efficient architecture
4
Implement security and improve pipeline performance
5
Work with real-time data ingestion on AWS
6
Get ready for AWS certification in data analytics
Overall ratings by our students
This Building Streaming Data Analytics Solutions on AWS course in Australia is all about teaching professionals to design, manage, and optimize real-time data pipelines using AWS services like Amazon Kinesis, Amazon MSK, and Apache Flink. You learn ways to design scalable streaming architectures, handle continuous data flows, and apply best practices in security and monitoring.
This course is beneficial for professionals who work with real-time data or build cloud-based data solutions, like -
This training is available in several flexible modes for convenient learning, like
The course is divided into modules, with each module covering a specific topic in detail. The following are the major topics discussed in the course -
In this Building Streaming Data Analytics Solutions on AWS Certification, professionals will work with tools like Amazon Kinesis, MSK, Apache Flink, and Zeppelin through hands-on lab activities.
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