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

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

What is the primary function of Kinesis Analytics?

• To manage databases

• To store large amounts of data

• To analyze data streams in real-time

• To visualize data in dashboards

Which AWS service is described as a full-blown analysis engine often used for log analysis?

• Amazon Athena

• Amazon Kinesis

• AWS Glue

• Amazon Elasticsearch Service

What is Amazon Athena primarily used for?

• Database management

• Querying data lakes in S3

• Data warehousing

• Real-time data streaming

Which AWS service is highlighted for its data warehousing capabilities?

• Amazon Elasticsearch

• Amazon Kinesis

• Amazon Redshift

• Amazon RDS

How does Redshift Spectrum enhance data analysis in AWS?

• By offering serverless computing

• By managing relational databases

• By allowing S3 data to be treated as a table in Redshift

• By providing real-time data streaming