AWS Glue

Before diving into AWS Glue's concepts, let's learn about data integration.

Data integration

Data integration is the process of combining data from disparate data sources and transforming it into a consistent format. ETL (Extract, Transform, Load) is a type of integration used in data integration and data warehousing to collect data from various sources, transform it into a consistent format, and load it into a target database or data warehouse for analysis, reporting, or other purposes.

The ETL process is crucial in data integration, enabling organizations to consolidate, cleanse, and harmonize data from disparate sources into a unified and consistent format.

Introduction to AWS Glue

AWS Glue is a serverless data integration service that consolidates the data integration capabilities, including discovery, ETL, cleansing, transforming, and cataloging, into a single serverless service catering to various workloads and user types. It provides productivity tools for authoring, running jobs, and implementing business workflows.

AWS Glue connects to data sources, extracts the data, and manages it centrally in a catalog. Additionally, it offers seamless querying of cataloged data through services like Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum. In this lesson, we will learn about the components of AWS Glue and how they work.

AWS Glue offers a comprehensive solution for managing ETL workloads through both console and API operations. Users can interact with AWS Glue programmatically using language-specific SDKs and the AWS Command ...