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Course Outline

Introduction

  • Overview of AWS Glue and its components
  • Understanding the AWS Glue components and architecture
  • AWS Glue benefits and limitations

Working with the 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

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

AWS Glue Transformations

  • Applying transformations
  • Resolving choice
  • Selecting and renaming fields
  • Dropping fields
  • Using filters
  • Using maps
  • Performing joins
  • Splitting
  • Flattening JSON

Understanding the Glue Workflow

  • Working with Glue jobs
  • Working with triggers

Debugging

  • Resolving script retrieval errors
  • Resolving launch errors
  • Resolving Glue argument errors
  • Resolving 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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