Serverless ETL and Analytics with AWS Glue
Design scalable data lakes, optimize ETL pipelines, and accelerate analytics on AWS
$71.85
- Paperback
532 pages
- Release Date
28 August 2026
Summary
Use AWS Glue to integrate growing data sources with serverless ETL, building secure, observable pipelines that support reliable analytics while managing performance and cost across a governed AWS data platform as workloads grow
Key Features
- Use runnable code, console walkthroughs, and downloadable examples for core AWS Glue workflows
- Apply DataOps practices with AWS CDK, Docker, and CI/CD in real-world scenarios
- Learn from six data specialists with AW…
Book Details
| ISBN-13: | 9781835464847 |
|---|---|
| ISBN-10: | 183546484X |
| Author: | Noritaka Sekiyama, Albert Quiroga, Tomohiro Tanaka, Subramanya Vajiraya, Akira Ajisaka, Ishan Gaur |
| Publisher: | Packt Publishing Limited |
| Imprint: | Packt Publishing Limited |
| Format: | Paperback |
| Number of Pages: | 532 |
| Edition: | 2nd |
| Release Date: | 28 August 2026 |
| Dimensions: | 191mm x 235mm |
Noritaka Sekiyama
Noritaka Sekiyama is an experienced big data engineer working at a data and AI company. He is responsible for building scalable data platforms with unified governance in the cloud. He is passionate about software engineering, cloud computing, big data technologies, distributed systems, data platforms, system monitoring, and automation.
Albert Quiroga is a Senior Solutions Architect at Amazon, where he creates solutions and architectural designs for one of the largest data lakes in the world. Prior to that, he spent four years working at AWS, where he specialized in big data technologies such as Amazon EMR, Amazon Athena, AWS Glue, and Amazon SageMaker. His 11 years of experience in the industry have empowered him to work with several Fortune 500 companies to overcome large-scale data and analytics challenges, and he has helped launch and develop features for several AWS services.
Tomohiro Tanaka is a big data specialist with deep, hands-on expertise in data infrastructure. His expertise covers large-scale migrations, performance tuning, and production troubleshooting, with a focus on Apache Spark and Apache Iceberg. He contributes to the Apache Iceberg open-source project and speaks at community events and conferences to help teams adopt Apache Iceberg in practice.
Subramanya Vajiraya is a Senior Cloud Engineer at AWS Sydney specializing in AWS Glue. He obtained his Bachelor of Engineering degree in Information Science & Engineering from NMAM Institute of Technology, Nitte, KA, India, in 2015 and his Master of Information Technology degree in Internetworking from the University of New South Wales, Sydney, Australia, in 2017. He is passionate about helping customers solve challenging technical issues related to their ETL workloads and implement scalable data integration and analytics pipelines on AWS.
Akira Ajisaka is a software engineer with more than 10 years of engineering experience in big data. He enjoys troubleshooting and contributing to OSS.
Ishan Gaur has more than 17 years of IT experience in software development, data engineering, and cloud architecture, building distributed systems and highly scalable data processing pipelines using Apache Spark, Scala, and various AWS data services, such as AWS Glue, Amazon SageMaker Unified Studio, and Amazon EMR. He currently works at AWS as a Principal Cloud Engineer, where he is focused on AI/ML operations and proactive cloud optimization. He works with AWS enterprise customers to design resilient data pipelines, automate incident response, troubleshoot large-scale distributed data platforms, and adopt GenAI-powered services and operational tools. He is passionate about turning reactive support patterns into proactive, self-healing architectures.
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