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AWS Glue Tutorial: Serverless ETL on AWS
A beginner's tutorial on AWS Glue, the serverless ETL service: what each component does, the catalog, crawlers, jobs, triggers and workflows, how they fit into one pipeline, a crawler, job and nightly schedule defined in code with boto3, how billing works, and the settings to get right on day one.
AWS Glue Data Catalog and Crawlers Explained
The Glue Data Catalog is the index of an AWS data lake, and crawlers are the usual way to fill it. This guide explains what the catalog stores, how a crawler classifies files and decides between tables and partitions, what three real files with drifting schemas show, and the settings that keep crawlers predictable.
AWS Glue Jobs: PySpark on Serverless Spark
A practical guide to AWS Glue Spark jobs: what a job is, how the script is structured, when to use a DynamicFrame and when a DataFrame, how job bookmarks avoid reprocessing, and how workers and DPUs set the bill. The transform is written as plain PySpark and run locally on 2.96 million rows, then wrapped for Glue.
AWS Glue Studio: Visual ETL for Beginners
AWS Glue Studio lets you build a Spark ETL job by drawing it: source, transform and target nodes on a canvas, with Glue generating the script. This beginner's guide explains the editor, the built-in transforms, data previews and what they cost, the generated script, and when a visual job should become code.
AWS Glue vs EMR vs Lambda for ETL
Glue, EMR and Lambda can each run ETL code on AWS, and they are built for very different sizes of job. This comparison sets out the hard limits of each, how data volume, control and operations decide the choice, how each is billed, and why most real pipelines end up using two or three of them together.
Glue Workflows vs Step Functions for Orchestration
Glue workflows and Step Functions can both run a multi-step pipeline on AWS, but one only knows about Glue and the other coordinates almost any service. This comparison covers what each can start, how they handle failure and reruns, how they are triggered and billed, and where managed Airflow fits as a third option.