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Course Outline

Introduction

  • Overview of AWS Glue and its core components
  • Understanding AWS Glue components and architecture
  • Benefits and limitations of AWS Glue

Working with Data Catalog

  • Understanding AWS Glue crawlers and the data catalog
  • Creating a database
  • Creating a table
  • Working with crawlers
  • Building custom classifiers

AWS Glue Development Endpoint

  • Utilizing a development notebook
  • Understanding Glue context and dynamic frames
  • Creating a dynamic frame

AWS Glue Transformation

  • Applying transformations
  • Resolving type choices
  • Selecting and renaming columns
  • Removing fields
  • Using filters
  • Using map functions
  • Performing joins
  • Unpivoting
  • Flattening JSON structures

Understanding the Glue Workflow

  • Working with Glue jobs
  • Configuring triggers

Debugging

  • Resolving script retrieval errors
  • Fixing launch errors
  • Correcting Glue argument errors
  • Addressing policy errors

Summary and Next Steps

Requirements

  • Familiarity with ETL concepts
  • Basic proficiency in Python programming

Target Audience

  • Data engineers
  • Data analysts
 14 Hours

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