Building Streaming Data Analytics Solutions on AWS Course in Ghana
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
Hassle-free payment plans
Overview
What we are going to teach you:
- Delivers practical experience working with AWS Kinesis and Amazon MSK
- Offers comprehensive instruction on using Apache Flink for stream processing
- Builds skills to design scalable and efficient streaming data architectures
- Trains you to effectively secure, monitor, and fine-tune streaming workflows
- Applies real-time analytics concepts to hands-on, real-world scenarios
- Helps you get ready for AWS certification in streaming data analytics
Upcoming sessions
Curriculum
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
Learning Outcomes
Upon finishing the training, you will:
1
Identify the key elements of dynamic vocal quality to enhance delivery
2
Utilise body language and gestures effectively to make a powerful impact
3
Evaluate techniques for engaging with the target audience
4
Develop and deliver dynamic presentations by incorporating various communication skills and strategies
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Frequently asked questions
The Building Streaming Data Analytics Solutions on AWS course teaches professionals how to design and implement scalable batch data analytics solutions using AWS services like Amazon EMR, Apache Spark, and AWS Glue. You will learn data ingestion, processing, and transformation techniques, along with managing 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. Experience with AWS services is recommended but not required. A background in data engineering, software development, or a related field would be beneficial for participants.
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 their career prospects
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