You're reading from AWS for Solutions Architects The definitive guide to AWS Solutions Architecture for migrating to, building, scaling, and succeeding in the cloud

Product type Paperback

Published in Apr 2023

Publisher Packt

ISBN-13 9781803238951

Length 692 pages

Edition 2nd Edition

Tools

AWS

Concepts

Cloud Computing

Authors (4):

Neelanjali Srivastav

Saurabh Shrivastava

Alberto Artasanchez

Imtiaz Sayed

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Table of Contents (19) Chapters

AWS for Solutions Architects, Second Edition: Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services

1 Understanding AWS Principles and Key Characteristics FREE CHAPTER

2 Understanding 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 Dive efficiency with Cloud Operation Automation and DevOps in AWS

10 Bigdata and streaming data processing in AWS

11 Datawarehouse, Data Query and Visualization in AWS

12 Machine Learning, IoT, and Blockchain in AWS

13 Containers in AWS

14 Microservice and Event-Driven Architectures

15 Domain-Driven Design

16 Data Lake Patterns – Integrating Your Data across the Enterprise

17 Availability, Reliability, and Scalability Patterns

18 AWS Hands-On Lab and Use Case

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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A brief history of databases

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Table of Contents (19) Chapters