Building Streaming Data Analytics Solutions on AWS
About This Program
In this one-day instructor-led course, participants will learn how to build and scale streaming data analytics solutions on AWS using Amazon Kinesis. This course covers the best practices for optimizing data storage and selecting and deploying appropriate options to ingest, transform, store, and analyze data. Participants will learn how to use various AWS services and features to build scalable, resilient, and cost-effective streaming data analytics solutions.
What You Will Learn
- Fundamentals of building and scaling streaming data analytics solutions on AWS
- How to use Amazon Kinesis to ingest and process streaming data
- Best practices for optimizing data storage
- Selecting appropriate storage options for streaming data
- How to use AWS services such as AWS Glue, Amazon Redshift, and Amazon Athena for data transformation, storage, and analysis
- Building scalable, resilient, and cost-effective streaming data analytics solutions on AWS
Who This Course Is For
Developers
Data engineers
Data scientists
Requirements
- Basic understanding of AWS services
- Experience working with data analytics solutions
Course Syllabus
Benefits
- Practical skills
Frequently Asked Questions
This course is designed for participants with a basic understanding of AWS services and experience working with data analytics solutions. If you are new to AWS, we recommend taking an introductory course before enrolling in this course.
No, there is no certification offered upon completion of this course. However, this course will prepare participants for the AWS Certified Big Data Specialty exam.
