Chapter 8. AWS Glue
AWS Glue is a fully managed data integration service that provides a streamlined way to prepare and integrate data for various analytical workloads, such as business intelligence (BI) and machine learning (ML). It also offers a user-friendly visual interface that simplifies the process of job creation, execution, and management. By leveraging AWS Glue, users can use the scalable, serverless data catalog to manage their workflows. AWS Glue 3.0 and later versions support the Apache Iceberg table format. This means you can use Glue with Iceberg for a range of operations, such as creating Iceberg tables on object stores such as Amazon Simple Storage Service (Amazon S3), performing read and write operations, or just leveraging the Glue catalog for storing all your Iceberg tables.
In this chapter, you will learn how to configure AWS Glue with Apache Iceberg tables and perform various operations such as CREATE, READ, and INSERT.
As of this writing, AWS Glue 4.0 supports Iceberg v1.0.0, whereas AWS Glue 3.0 supports Iceberg v0.13.1.
Configuration
The AWS Glue integration tool works based on “jobs” that represent a single unit of work, moving data from a source (anywhere) to a destination (an Apache Iceberg table, for our purposes). We will review the configurations needed when creating a job using Apache Iceberg as a source or destination.
Creating a Glue Database
The first step is to create a database in the AWS Glue Data catalog. The Glue Data catalog acts as a ...
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