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Solutions Architect's Handbook

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
4.7 (59)
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Solutions Architect's Handbook

Solutions Architect's Handbook

4.7 (59)
By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Master the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.
Table of Contents (20 chapters)
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18
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19
Index

Data Engineering for Solution Architecture

In the previous chapter, you learned about the DevOps process, which automates the application deployment pipeline and fosters a culture of collaboration among development, operations, and security teams. This chapter will introduce you to data engineering, including the various tools and techniques used to collect data from different parts of your application to gain insights that can drive your business.

Data is being generated everywhere with high velocity and volume in the internet and digitization era. Getting insights from these enormous amounts of data at a fast pace is challenging. We must continuously innovate to ingest, store, and process this data to derive business outcomes.

With the convergence of cloud, mobile, and social technologies, advancements in many fields, such as genomics and life sciences, are growing ever-increasingly. Tremendous value is found in mining this data for more insight. Modern stream processing...

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