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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

Designing big data architectures

Big data solutions are comprised of data ingestion, storage transformation, data processing, and visualization in a repeated manner to run daily business operations. You can build these workflows using the open source or cloud technologies you learned about in previous sections.

First, you need to learn which architectural style is right for you by working backward from the business use case. You need to understand the end user of your big data architecture and create a user persona to understand the requirements better. To identify the key personas you are targeting with big data architecture, you need to understand some of the following points:

  • Which teams, units, or departments inside your organization are they a part of?
  • What is their level of data analysis and data engineering proficiency?
  • What tools do they typically use?
  • Do you need to cater to the organization’s employees, customers, or partners?
  • ...
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