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by KAUSTUBH SHARMA on Dec. 2, 2021, 11:14 p.m. with 595 views

AWS Glue

  • Fully Serverless managed extract, transform, and load (ETL) service.
  • Useful to prepare, transform and combine data for analytics, machine learning, and application development.



AWS Glue Crawler

  • Used to populate the AWS Glue Data Catalog with tables.

  • The primary method used by most AWS Glue users.

  • A crawler can crawl multiple data stores in a single run.

  • Upon completion, the crawler creates or updates one or more tables in your Data Catalog. Extract, transform, and load (ETL) jobs that you define in AWS Glue use these Data Catalog tables as sources and targets.

  • The ETL job reads from and writes to the data stores that are specified in the source and target Data Catalog tables.


AWS Glue Studio

  • Data engineers and ETL (extract, transform, and load) developers can visually create, run, and monitor ETL workflows with a few clicks.


AWS Glue DataBrew

  • Data analysts and data scientists can use AWS Glue DataBrew to visually enrich, clean, and normalize data without writing code.


 AWS Glue Elastic Views

  • Application developers can use familiar Structured Query Language (SQL) to combine and replicate data across different data stores.


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