AWS Certified Data Analytics Specialty 2021 - Hands-On! - Section Introduction: Analysis

This video tutorial covers various AWS services for big data analysis. It begins with Kinesis Analytics for real-time data stream analysis, followed by Elasticsearch for log analysis and visualization. The tutorial then explores Amazon Athena for querying data lakes in S3, and delves into Amazon Redshift for data warehousing. Finally, it discusses the AWS Relational Database Service (RDS) and its role in big data. Each section includes hands-on activities to reinforce learning.

What is the primary function of Kinesis Analytics in AWS?

• To store large datasets

• To analyze data streams in real-time

• To visualize data

• To manage relational databases

Which AWS service is used for log analysis and visualization?

• Amazon Athena

• Amazon Kinesis

• Amazon Elasticsearch Service

• AWS Glue

What is Amazon Athena primarily used for?

• Data warehousing

• Managing relational databases

• Querying data lakes stored in S3

• Real-time data processing

What is the main application of AWS Redshift?

• Log analysis

• Relational database management

• Data warehousing

• Real-time data streaming

How does AWS RDS fit into the big data ecosystem?

• It manages relational databases within big data applications

• It is used for real-time data analysis

• It provides a serverless solution for data lakes

• It is a data visualization tool