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AWS for Solutions Architects - Second Edition

You're reading from  AWS for Solutions Architects - Second Edition

Product type Book
Published in Apr 2023
Publisher Packt
ISBN-13 9781803238951
Pages 692 pages
Edition 2nd Edition
Languages
Authors (4):
Saurabh Shrivastava Saurabh Shrivastava
Profile icon Saurabh Shrivastava
Neelanjali Srivastav Neelanjali Srivastav
Profile icon Neelanjali Srivastav
Alberto Artasanchez Alberto Artasanchez
Profile icon Alberto Artasanchez
Imtiaz Sayed Imtiaz Sayed
Profile icon Imtiaz Sayed
View More author details

Table of Contents (19) Chapters

Preface 1. Understanding AWS Principles and Key Characteristics 2. Understanding the AWS Well-Architected Framework and Getting Certified 3. Leveraging the Cloud for Digital Transformation 4. Networking in AWS 5. Storage in AWS – Choosing the Right Tool for the Job 6. Harnessing the Power of Cloud Computing 7. Selecting the Right Database Service 8. Best Practices for Application Security, Identity, and Compliance 9. Driving Efficiency with CloudOps 10. Big Data and Streaming Data Processing in AWS 11. Data Warehouses, Data Queries, and Visualization in AWS 12. Machine Learning, IoT, and Blockchain in AWS 13. Containers in AWS 14. Microservice Architectures in AWS 15. Data Lake Patterns – Integrating Your Data across the Enterprise 16. Hands-On Guide to Building an App in AWS 17. Other Books You May Enjoy
18. Index

A brief history of databases

Relational databases have been around for over 50 years. Edgar F. Codd created the first database in 1970. The main feature of a relational database is that data is arranged in rows and columns, and rows in tables are associated with other rows in other tables by using the column values in each row as relationship keys. Another important feature of relational databases is that they normally use Structured Query Language (SQL) to access, insert, update, and delete records. SQL was created by IBM researchers Raymond Boyce and Donald Chamberlin in the 1970s. Relational databases and SQL have served us well for decades.

With the internet's popularity increased in the 1990s, we started hitting scalability limits with relational databases. Additionally, a wider variety of data types started cropping up. RDBMSes were simply not enough anymore. This led to the development of new designs, and we got the term NoSQL databases. As confusing as the term is, it does...

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