Get in Touch

Course Outline

Introduction

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

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

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

AWS Glue Transformation

  • Applying transformations
  • Resolving choices
  • Selecting and renaming fields
  • Dropping fields
  • Using filters
  • Using maps
  • Joining data
  • 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

  • Understanding of ETL concepts
  • Basic knowledge of Python programming

Audience

  • Data engineers
  • Data analysts
 14 Hours

Number of participants


Price per participant

Testimonials (2)

Provisional Upcoming Courses (Require 5+ participants)

Related Categories