Key Features of AWS Glue #5
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Data Catalog
The AWS Glue Data Catalog is a central metadata repository that stores information about your data sources, schemas, and transformations. It automatically discovers and catalogs metadata, making it easier to manage and search for data across your organization. AWS Classes in Pune
Automated Data Discovery and Schema Inference
AWS Glue can automatically crawl your data sources to discover data structures and infer schemas. This reduces the manual effort required to define schemas and ensures that your ETL processes can adapt to changing data structures.
ETL Job Authoring
AWS Glue provides both a visual interface and a code-based interface for authoring ETL jobs. The visual interface, AWS Glue Studio, allows you to build ETL workflows using a drag-and-drop editor. The code-based interface supports writing ETL scripts in Python or Scala.
Serverless Architecture
AWS Glue is serverless, meaning you don’t need to provision or manage infrastructure. It automatically scales to handle the volume of data being processed, ensuring that you only pay for the resources you use. AWS Course in Pune
Integration with AWS Services
AWS Glue integrates seamlessly with other AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon Athena. This integration enables you to build end-to-end data pipelines within the AWS ecosystem.
Transformations and Jobs
AWS Glue provides a wide range of built-in transformations to clean, enrich, and format your data. You can create and schedule ETL jobs to automate these transformations and move data to its destination.