May 11, 2024
2 minute read
AWS Batch is a service that helps you run batch computing jobs on Amazon Elastic Compute Cloud (Amazon EC2) or AWS Fargate. Batch computing is a common way to run large-scale, data-intensive computations that can be broken down into many smaller tasks. These tasks can be run in parallel on multiple compute resources, which can significantly reduce the time it takes to complete the job.
Why Learn AWS Batch?
There are many reasons why you might want to learn AWS Batch. Some of the most common reasons include:
23g4by|
Find a path to becoming a AWS Batch. Learn more at:
OpenCourser.com/topic/23g4by/aws
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AWS Batch.
Focuses on programming interfaces, providing code samples and guidance on integrating AWS Batch with various programming languages.
Provides a broad overview of cloud computing concepts and services, including a chapter on batch processing and AWS Batch.
While not directly related to AWS Batch, this book provides a strong foundation in Python, which is essential for developing and managing batch jobs on AWS Batch.
Covers various aspects of big data analytics on AWS, including a section on using AWS Batch for scalable data processing.
Provides a broad overview of cloud computing concepts and architectures, setting the context for understanding services like AWS Batch.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/23g4by/aws