hands-on lab

AWS Finserv GameDay

Difficulty: Advanced
Duration: Up to 730 hours and 29 minutes
Students: 16
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.

Description

Learning Objectives

Upon completion of this challenge, you will be able to:

  • Manage your Porfolio
  • Understand the difference between Amazon Comprehend build-in and custom trained models
  • Understand the difference between real time vs. batch analysis
  • Review event notification feature of S3 to trigger serverless functions
  • Leverage Athena capabilities to analyze data using Views and standard SQL statements

Intended Audience

  • Cloud Architects
  • Data Engineers
  • ...

Prerequisites

Familiarity with the following will be beneficial but is not required:

  • Amazon S3
  • Amazon Athena
  • Amazon Forecast
  • Amazon Comprehend
  • Amazon Lambda
  • Amazon Glue
Hands-on Lab UUID

Lab steps

0 of 9 steps completed.Use arrow keys to navigate between steps. Press Enter to go to a step if available.
  1. Introduction to AWS GameDay
  2. Review and familiarize yourself with the data stored in S3
  3. Project future prices using Amazon Forecast
  4. Derive insights from news using Amazon Comprehend
  5. Create Glue Catalog Tables
  6. Query data stored in S3 via Amazon Athena
  7. Visualize data using Amazon QuickSight
  8. Launch the 'Portfolio Manager' Dashboard
  9. Advanced Track Add Symbol Level Sentiment Analysis