August 2023
Intermediate to advanced
420 pages
10h 49m
English
Overview
"Modern Data Architecture on AWS" is a comprehensive guide to building scalable, efficient, and secure data platforms using AWS services. This book takes you through creating end-to-end solutions for common data, analytics, and AI/ML use cases. By employing real-world examples, you'll gain a robust understanding of how to leverage AWS to meet modern data demands.
What this Book will help me do
- Understand the key components of modern data architecture on AWS and their applications.
- Build an end-to-end scalable and efficient data platform customized to business needs using AWS.
- Implement security and governance practices across data platforms to meet industry standards.
- Optimize data processing pipelines, enhancing performance and cost with AWS services.
- Incorporate AI/ML capabilities into data projects for advanced analytics and automation.
Author(s)
Behram Irani is an experienced data architect with extensive hands-on knowledge in building data platforms and solutions. With a career spanning over two decades in the IT industry, Behram has dedicated years to designing advanced data systems that cater to the dynamic requirements of various organizations. An educator at heart, Behram simplifies complex topics in a way that empowers readers to apply their learnings effectively.
Who is it for?
This book is ideally suited for data architects, engineers, and IT professionals looking to enhance their skills in data platforms. Mid-level to advanced practitioners will find the content especially useful, as it provides a mix of theoretical knowledge and practical insight. It's also an excellent resource for technical decision-makers aiming to understand AWS-based modern data platforms. A basic familiarity with data analytics and AWS is recommended.
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