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Solutions Architect's Handbook - Second Edition

You're reading from Solutions Architect's Handbook - Second Edition

Product type Book

Published in Jan 2022

Publisher Packt

ISBN-13 9781801816618

Pages 590 pages

Edition 2nd Edition

Languages

Concepts

Solution Architecture

Authors (2):

Saurabh Shrivastava

Neelanjali Srivastav

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Table of Contents (22) Chapters

Preface

1. The Meaning of Solution Architecture

2. Solution Architects in an Organization

3. Attributes of the Solution Architecture

4. Principles of Solution Architecture Design

5. Cloud Migration and Hybrid Cloud Architecture Design

6. Solution Architecture Design Patterns

7. Performance Considerations

8. Security Considerations

9. Architectural Reliability Considerations

10. Operational Excellence Considerations

11. Cost Considerations

12. DevOps and Solution Architecture Framework

13. Data Engineering for Solution Architecture

14. Machine Learning Architecture

15. The Internet of Things Architecture

16. Quantum Computing

17. Rearchitecting Legacy Systems

18. Solution Architecture Document

19. Learning Soft Skills to Become a Better Solution Architect

20. Other Books You May Enjoy

21. Index

Processing data and performing analytics

Data analytics is the process of ingesting, transforming, and visualizing data to discover valuable insights for business decision-making. Over the previous decade, more data has been collected, and customers are looking for greater insights into their data.

These customers also want these insights in the least amount of time, sometimes even in real time. They want more ad hoc queries to answer more business questions. To answer these questions, customers need more powerful and efficient systems.

Batch processing typically involves querying large amounts of cold data. In batch processing, it may take hours to get answers to business questions. For example, you may use batch processing to generate a billing report at the end of the month. Stream processing in real time typically involves querying small amounts of hot data, and it takes only a short amount of time to get answers. MapReduce-based systems such as Hadoop are examples of...

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Authors (2)

Saurabh Shrivastava

Saurabh Shrivastava is a technology leader, author, inventor, and public speaker with over 18 years of experience in the IT industry. He currently works at Amazon Web Services (AWS) as a Global Solutions Architect Leader and enables global consulting partners and enterprise customers on their journey to the cloud. Saurabh led the AWS global technical partnerships, set his team's vision and execution model, and nurtured multiple new strategic initiatives. Saurabh has authored various blogs and whitepapers across a diverse range of technologies, such as big data, IoT, machine learning, and cloud computing. He is passionate about the latest innovations and their impact on our society and daily life. He holds a patent in the area of cloud platform automation. Before AWS, Saurabh worked as an enterprise solution architect, software architect, and software engineering manager in Fortune 50 enterprises, start-ups, and global product and consulting organizations.

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Neelanjali Srivastav

Neelanjali Srivastav is a technology leader, product manager, agile coach, and cloud practitioner with over 16 years of experience in the software industry. She currently works at Amazon Web Services (AWS) as a Senior Product Manager and enables global customers on their data journey to the cloud. Neelanjali evangelizes and enables AWS customer and partners in AWS database, analytics, and machine learning services. She sets the product vision and cultivates new products in incubation. Before AWS, Neelanjali led teams of software engineers, solutions architects, and systems analysts to modernize IT systems and develop innovative software solutions for large enterprises. Neelanjali has held multiple roles in the IT services industry and R&D, focusing on enterprise application management, cloud service management, and orchestration.

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