August 2022
Intermediate to advanced
434 pages
10h 34m
English
book
Serverless ETL and Analytics with AWS Glue
by Vishal Pathak, Subramanya Vajiraya, Noritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur
Overview
Discover how to harness AWS Glue for your ETL and data analysis workflows with "Serverless ETL and Analytics with AWS Glue." This comprehensive guide introduces readers to the capabilities of AWS Glue, from building data lakes to performing advanced ETL tasks, allowing you to create efficient, secure, and scalable data pipelines with serverless technology.
What this Book will help me do
- Understand and utilize various AWS Glue features for data lake and ETL pipeline creation.
- Leverage AWS Glue Studio and DataBrew for intuitive data preparation workflows.
- Implement effective storage optimization techniques for enhanced data analytics.
- Apply robust data security measures, including encryption and access control, to protect data.
- Integrate AWS Glue with machine learning tools like SageMaker to build intelligent models.
Author(s)
The authors of this book include experts across the fields of data engineering and AWS technologies. With backgrounds in data analytics, software development, and cloud architecture, they bring a depth of practical experience. Their approach combines hands-on tutorials with conceptual clarity, ensuring a blend of foundational knowledge and actionable insights.
Who is it for?
This book is designed for ETL developers, data engineers, and data analysts who are familiar with data management concepts and want to extend their skills into serverless cloud solutions. If you're looking to master AWS Glue for building scalable and efficient ETL pipelines or are transitioning existing systems to the cloud, this book is ideal for you.
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