Book Image

Solutions Architect’s Handbook - Second Edition

By : Saurabh Shrivastava, Neelanjali Srivastav
4 (2)
Book Image

Solutions Architect’s Handbook - Second Edition

4 (2)
By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and the cloud-native aspects of modern software design. By the end of this handbook, you'll have learned the techniques needed to create efficient architecture designs that meet your business requirements.
Table of Contents (22 chapters)
20
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21
Index

Designing big data architectures

Big data solutions are comprised of data ingestion, storage transformation, 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 architecture 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 requirement better. To identify 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 employees, customers, or partners of the organization?

For your reference, taking...