AWS Certified Data Analytics Specialty 2021 – Hands-On - (Exercise) AWS Glue and Athena

This video tutorial demonstrates how to use Amazon Athena and AWS Glue to query data stored in S3. It covers setting up a Glue Crawler to infer a schema from CSV files, configuring the crawler, and running it to create a database in the data catalog. The tutorial also explains how to edit the schema and partitions, and finally, how to use Athena to perform SQL-like queries on the structured data. The process allows users to treat raw CSV data in S3 as a database, enabling efficient data analysis.

What is the first step to set up AWS Glue for querying data in S3?

How does the Glue crawler infer the schema from the data in S3?

Explain the purpose of the Glue crawler in the context of this course.

What are the necessary components to create a new crawler in AWS Glue?

How can you ensure that the Glue crawler does not crawl certain subdirectories?

What are the potential security options available when setting up AWS Glue?

What challenges might arise when querying data that lacks a header row in CSV format?

What is the significance of partitioning in the context of the data stored in S3?

What steps are involved in editing the schema after the Glue crawler has run?

Describe how to query the data in Athena after setting up the Glue crawler.