LEARN AWS GLUE: Create Serverless ETL Pipelines and Data Catalogs
About this ebook
Recommended for students and professionals seeking practical mastery in data orchestration, serverless ETL, and corporate pipeline automation with AWS Glue. The content covers everything from job creation, execution, and monitoring to advanced integration with AWS S3, Redshift, Athena, RDS, DynamoDB, Lake Formation, Glue Data Catalog, as well as connection with tools like Databricks, Apache Spark, Airflow, Python, PySpark, Pandas, Grafana, Kibana, and multi-cloud integrations with Azure and Google Cloud. Learn how to transform, catalog, and automate data flows, create scalable workflows, apply validation, tuning, partitioning, and optimize big data analytics in professional environments.
Gain autonomy to build robust pipelines, implement data lakes, governance, and secure large-scale integrations.
You will learn:
• Configure and run serverless ETL jobs with Glue and PySpark
• Integrate AWS Glue with S3, Redshift, Athena, RDS, and DynamoDB
• Orchestrate multi-cloud pipelines, data lakes, and data automation
• Manage Glue Data Catalog, workflows, triggers, and crawlers
• Apply validation, tuning, partitioning, and performance in big data
• Connect Glue to Databricks, Airflow, Python, Pandas, and Spark
• Monitor and audit pipelines with Grafana, Kibana, and CloudWatch
• Ensure security, governance, and automation of data routines
• Optimize analytics, reporting, and corporate BI processes
By the end, you will master AWS Glue to build serverless, scalable, and secure ETL solutions ready for data projects, analytics, multi-cloud integration, and corporate automation.
aws glue, etl, serverless, pipelines, s3, redshift, athena, data catalog, pyspark, airflow, databricks, big data, automation, cloud integration, governance, analytics, monitoring, partitioning, tuning
About the author
Diego Rodrigues
Technical Author and Independent Researcher
ORCID: https://orcid.org/0009-0006-
StudioD21 Smart Tech Content & Intell Systems
Email: [email protected]
LinkedIn: linkedin.com/in/diegoexpertai
International technical author (tech writer) focused on the structured production of applied knowledge. He is the founder of StudioD21 Smart Tech Content & Intell Systems, where he leads the creation of intelligent frameworks and the publication of didactic technical books supported by artificial intelligence, such as the Kali Linux Extreme series, SMARTBOOKS D21, among others.
Holder of 42 international certifications issued by institutions such as IBM, Google, Microsoft, AWS, Cisco, META, Ec-Council, Palo Alto, and Boston University, he works in the fields of Artificial Intelligence, Machine Learning, Data Science, Big Data, Blockchain, Connectivity Technologies, Ethical Hacking, and Threat Intelligence.
Since 2003, he has developed more than 200 technical projects for brands in Brazil, the USA, and Mexico. In 2024, he established himself as one of the leading technical book authors of the new generation, with over 180 titles published in six languages. His work is based on his proprietary TECHWRITE 2.3 applied technical writing protocol, focused on scalability, conceptual precision, and practical applicability in professional environments.
