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AWS re:Post Knowledge Center Spotlight: AWS Glue

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This spotlight on AWS Glue equips you with the skills and troubleshooting tips to get the most out of a data integration service.
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AWS GlueAWS Knowledge Center
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Joseph Schafer
updated a month ago124 views

Overview

The AWS re:Post Knowledge Center is your one-stop-shop for authoritative, up-to-date guidance on AWS services. This month, we're highlighting AWS Glue, a serverless data integration service that optimizes data preparation.

Preparing your data to obtain quality results is the first step in an analytics or machine learning project. With AWS Glue, you can discover and connect to over 100 diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor Extract, Transform, and Load (ETL) pipelines to load data into your data lakes. The following Knowledge Center articles equip you with the skills and troubleshooting tips to get the most out of this data integration service.

Monitoring performance and optimization

Job performance and cost optimization are critical factors that directly impact your data processing efficiency. Review guidance on resource utilization and optimized workflows.

Managing connection and access issues

Secure connections between AWS Glue and data sources is fundamental to successful ETL operations. Address common connectivity challenges.

Resolving crawler issues

AWS Glue Crawlers automatically discover and catalog metadata from data sources. Explore solutions for common crawler challenges.

Handling Data Processing and Quality

Data quality and reliable processing are paramount for maintaining the integrity of ETL workflows in AWS Glue. Examine common challenges in data processing.

Related information

Have more questions about AWS Glue? Check out the re:Post AWS Glue knowledge base or ask your own question to get guidance from the AWS community.

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