In this course, you will be introduced to the technical side of business intelligence (BI) and data visualization with Amazon Web Services (AWS). You will focus on using Amazon QuickSight to build and share interactive dashboards and analyses. You will learn how to embed dashboards into applications and websites, and securely manage access and permissions. You will also see how to connect to and prepare data from services such as Amazon Simple Storage Service (Amazon S3), Amazon Relational Database Service (Amazon RDS), Amazon Redshift, Amazon Athena, and AWS Glue, as well as on-premises data sources through virtual private clouds (VPCs) and application connectors.
Intended Audience
This course is intended for:
- Technical professionals, BI engineers, and data analysts at AWS customer and partner organizations
Course Objectives
In this course, you will learn how to:
- Provide a technical overview of data visualization via QuickSight
- Connect to and prepare data for visualization and analysis from AWS sources, third-party applications, and on-premises databases
- Create and share visual analyses and dashboards
- Set up secure authentication for users and groups, including Active Directory, Security Assertion Markup Language (SAML), and software development kits (SDKs)
- Embed interactive dashboards and analytics into your applications, websites, and portals
- Leverage automated machine learning insights for anomaly detection, forecasting, and natural language narratives
Prerequisites
We recommend that attendees of this course have the following prerequisites:
- AWS Technical Professional
- Prior experience with a BI reporting tool
Delivery Method
This course is delivered through:
- Digital training in a self-paced format
Duration
4 hours
Course Outline
This course covers the following concepts:
- Introduction/understanding the basics of QuickSight
- Building and sharing data visualizations in QuickSight
- Working with ML insights
- Embedding QuickSight dashboards
- Implementing QuickSight
