Building Streaming Data Analytics Solutions on AWS

Learn to design and implement streaming data analytics solutions using AWS Services with an expert AWS instructor.
The course dives deep into Amazon Kinesis and Amazon MSK through a mixture of instructor-led presentations, practice labs, demonstrations, and class exercises so you can walk away understanding how to build a streaming data analytics solution on AWS. You'll also learn how to scale streaming applications using Amazon Kinesis, optimize data storage, how to select and deploy appropriate options to ingest, transform, store, and analyze data, and more.

Compare the features and benefits of data warehouses, data lakes, and modern data architectures
Design and implement a streaming data analytics solution
Identify and apply appropriate techniques, including compression, to optimize data storage
Select and deploy appropriate options to ingest, transform, and store data
And much more

• Data and data platform engineers
• Solutions architects
• Data Architects
• Developers who want to build and manage streaming data analytics pipelines

• Students with a minimum one-year experience managing data analytics solutions or streaming data will benefit from this course
• We suggest the Streaming Data Solutions on AWS whitepaper for those that need a refresher on streaming concepts

We recommend that attendees of this course have:

• Completed either Architecting on AWS or Data Analytics Fundamentals
• Completed Building Data Lakes on AWS