Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
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
Authors (2):
Saurabh Shrivastava Saurabh Shrivastava
Profile icon Saurabh Shrivastava
Neelanjali Srivastav Neelanjali Srivastav
Profile icon Neelanjali Srivastav
View More author details

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

Data ingestion

Data ingestion is the act of collecting data for transfer and storage. There are lots of places that data can be onboarded. Predominantly, data ingestion falls into one of the categories from databases, streams, logs, and files. Among these, databases are the most popular. These typically consist of your main upstream transactional systems that are the primary data storage for your applications. They take on both relational and non-relational flavors, and there are several techniques for extracting data out of them.

Streams are open-ended sequences of time-series data such as clickstream data from websites or IoT devices, usually published into an API we host. Logs get generated by applications, services, and operating systems. A data lake is a great place to store all of the data for centralized analysis. Data lakes provide a single source of truth to store all data in one place and break data silos across various business units in the organization. In a later...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at £13.99/month. Cancel anytime}