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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 Glue context and dynamic frames.
  • Creating a dynamic frame.

AWS Glue Transformations

  • Applying transformations.
  • Resolving a choice.
  • Selecting and renaming.
  • Dropping fields.
  • Using filters.
  • Using maps.
  • Joining.
  • Spigot.
  • Flattening JSON.

Understanding the Glue Workflow

  • Working with Glue jobs.
  • Working with triggers.

Debugging

  • Fixing script retrieval errors.
  • Fixing launch errors.
  • Fixing Glue argument errors.
  • Fixing policy errors.

Summary and Next Steps

Requirements

  • Familiarity with ETL concepts.
  • Basic understanding of Python programming.

Target Audience

  • Data engineers.
  • Data analysts.
 14 Hours

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