AWS Certified Data Analytics Specialty 2021 – Hands-On - Section Introduction: Visualization

The video tutorial covers the use of big data in AWS, focusing on how to issue SQL queries and the importance of visualizing data through charts and graphs. It introduces Amazon QuickSight as a tool for interactive data exploration and provides guidance on selecting the right type of visualization for different data sets. The tutorial also touches on third-party visualization technologies and compares them with AWS offerings.

Why is it important to visualize big data?

• To make data storage more efficient

• To extract meaningful insights

• To reduce data size

• To improve data security

What is Amazon QuickSight primarily used for?

• Data storage

• Interactive data exploration

• Data encryption

• Data backup

Which AWS service is mentioned as a source for data visualization in QuickSight?

• Amazon S3

• Amazon RDS

• Amazon EC2

• Amazon Redshift

What is crucial for effective data visualization?

• Having the largest dataset

• Using only AWS tools

• Using the most expensive software

• Choosing the right graph type

What is discussed in relation to third-party visualization technologies?

• Their cost compared to AWS

• Their speed compared to AWS

• Their security compared to AWS

• Their features compared to AWS