Course Outline

Introduction

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

Working with Data Catalog

  • Understanding AWS Glue crawlers and 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 transformation
  • Resolving a choice
  • Selecting and renaming
  • Drop fields
  • Using filter
  • Using a map
  • Joining
  • Spigot
  • Flatten JSON

Understanding the Glue Workflow

  • Working with Glue jobs
  • Working with triggers

Debugging

  • Fixing script retrieving error
  • Fixing launch error
  • Fixing glue argument error
  • Fixing policy error

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 (7)

Related Courses

ArcGIS for Spatial Analysis

14 Hours

ArcMap in ArcGIS

14 Hours

ArcGIS Pro for Spatial Analysis

14 Hours

ArcGIS with Python Scripting

14 Hours

QGIS for Geographic Information System

21 Hours

Advanced Data Analysis with TIBCO Spotfire

14 Hours

Introduction to Spotfire

14 Hours

AI-Driven Data Analysis with TIBCO Spotfire X

14 Hours

Data Analysis with SQL, Python and Spotfire

14 Hours

Sensu: Beginner to Advanced

14 Hours

Monitoring Your Resources with Munin

7 Hours

Automated Monitoring with Zabbix

14 Hours

Fluentd for Log Data Unification

14 Hours

Nagios Certified Administrator Preparation

21 Hours

Advanced Nagios

21 Hours

Related Categories

1