Building Streaming Data Analytics Solutions on AWS
Official partner
AWS
Course Description
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.
This course is part of the Building Modern Data Analytics Solutions on AWS collection of four, one-day, intermediate-level classroom training courses.
Course Summary
Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Using Streaming Services in the Data Analytics Pipeline
Module 2: Introduction to AWS Streaming Services
Module 3: Using Amazon Kinesis for Real-time Data Analytics
Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis
Module 5: Using Amazon MSK in Streaming Data Analytics Solutions
Module 6: Securing, Monitoring, and Optimizing Amazon MSK
Module 7: Designing Streaming Data Analytics Solutions
Module B: Developing Modern Data Architectures on AWS
Prerequisites for this course
• Students with 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 either Building Data Lakes on AWS
Audience for this course
This course is intended for:
• Data engineers and architects
• Developers who want to build and manage real-time applications and streaming data analytics solutions