AWS Glue Explained | Serverless ETL & Data Catalog (AWS Exam Ready)
Автор: Ai Cloud Path
Загружено: 2026-01-09
Просмотров: 15
In this lesson, we introduce AWS Glue, a serverless data preparation and integration service that discovers, catalogs, and transforms data for analytics and machine learning.
AWS Glue allows you to extract, transform, and load (ETL) data from services like Amazon S3, DynamoDB, RDS, Redshift, and Kinesis without managing any infrastructure. Glue crawlers automatically scan your data and create a central Data Catalog, making your data easy to query and analyze.
You’ll learn:
What AWS Glue is and how it works
How Glue Crawlers build the Data Catalog
How Glue performs ETL (cleaning, deduplication, enrichment, joins)
How transformed data is loaded into S3, Athena, or Redshift
Key AWS exam tips you need to remember
Common Use Cases:
Preparing data for analytics and machine learning
Creating a centralized data catalog
Joining datasets before loading into a data warehouse
Enabling SQL queries with Athena
📌 Exam Tip:
If the question mentions ETL + Data Catalog + Serverless, the correct answer is AWS Glue.
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![AWS Glue for ETL (Extract, Transform, Load) + S3, RDS and Redshift [FULL TUTORIAL]](https://image.4k-video.ru/id-video/rVrTiJRTviA)
