AWS Glue
AWS Glue
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Which technologies will dominate in 2025? And what skills do you need to keep up?
Check it outThe AWS Glue course is designed to provide an understanding of AWS Glue and its components, including insights into capabilities, targeted use cases, and development processes involved in using the service. Participants will gain knowledge of AWS Glue components including metadata management, ETL job development, streaming data processing, and advanced data integration techniques. Participants will explore the intricacies of AWS Glue, from storing and discovering metadata schemas to orchestrating ETL workflows and ensuring data quality. By the end, participants will have a high-level understanding of AWS Glue's capabilities, targeted use cases, and the development processes required to utilize this powerful service effectively.
Prerequisites
Purpose
| Gain an understanding of AWS Glue's capabilities and the development processes required to utilize the service. |
Audience | Engineers looking to visually create, run and monitor ETL workflows. |
Role | Data Engineers | Software Developers | Data Analysts |
Skill level | Intermediate |
Style | Lectures | Hands-on Activities | Labs | Use Cases |
Duration | 2 days |
Related technologies | Python | PySpark | PyTorch | SQL |
Metadata Management with Glue Data Catalog
Introduction to Apache Spark and PySpark for Glue
Developing and Deploying Glue ETL Jobs
Streaming Data Processing with Glue
ETL Job Creation with Glue Studio
Monitoring and Troubleshooting Glue ETL Jobs
Orchestrating Glue Jobs with Workflows and StepFunctions
Building CI/CD Pipelines for AWS Glue
Incremental Data Loading with Glue Job Bookmarks
Ensuring Data Quality with AWS Glue
When transforming your workforce, it’s important to have expert advice and tailored solutions. We can help. Tell us your unique needs and we'll explore ways to address them.
Let's chat
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