Course Outline

Introduction

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

Working with Data Catalog

  • Understanding AWS Glue crawlers and data catalog for government
  • Creating a database in the AWS Glue Data Catalog for government
  • Creating a table in the AWS Glue Data Catalog for government
  • Configuring and using crawlers for data discovery for government
  • Building custom classifiers to enhance data classification for government

AWS Glue Development Endpoint

  • Using a development notebook with AWS Glue for government
  • Understanding the Glue context and dynamic frames for government
  • Creating a dynamic frame in AWS Glue for government

AWS Glue Transformation

  • Applying data transformations in AWS Glue for government
  • Resolving choice operations for data consistency for government
  • Selecting and renaming fields for improved data clarity for government
  • Dropping unnecessary fields to streamline data sets for government
  • Using filter operations to refine data for government
  • Using map functions to transform data elements for government
  • Joining datasets to integrate information for government
  • Using the Spigot operation to manage large data outputs for government
  • Flattening JSON structures to simplify complex data for government

Understanding the Glue Workflow

  • Working with AWS Glue jobs for government
  • Configuring and managing triggers in AWS Glue for government

Debugging

  • Resolving script retrieval errors in AWS Glue for government
  • Addressing launch errors in AWS Glue for government
  • Fixing glue argument errors for effective script execution for government
  • Correcting policy errors to ensure compliance and security for government

Summary and Next Steps

Requirements

  • Comprehension of ETL (Extract, Transform, Load) concepts
  • Fundamental knowledge of Python programming

Audience

  • Data engineers for government agencies
  • Data analysts in public sector organizations
 14 Hours

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