Book Image

Python Essentials for AWS Cloud Developers

By : Serkan Sakinmaz
4 (1)
Book Image

Python Essentials for AWS Cloud Developers

4 (1)
By: Serkan Sakinmaz

Overview of this book

AWS provides a vast variety of services for implementing Python applications, which can pose a challenge for those without an AWS background. This book addresses one of the more predominant problems of choosing the right service and stepping into the implementation of exciting Python apps using AWS. The book begins by showing you how to install Python and create an AWS account, before helping you explore AWS Lambda, EC2, Elastic Beanstalk, and S3 for Python programming. You'll then gain hands-on experience in using these services to build the Python application. As you advance, you'll discover how to debug Python apps using PyCharm, and then start deploying the Python applications on Elastic Beanstalk. You’ll also learn how to monitor Python applications using the CloudWatch service, along with creating and publishing APIs on AWS to access the Python application. The concluding chapters will help you get to grips with storing unstructured and semi-structured data using NoSQL and DynamoDB, as well as advance your knowledge using the Glue serverless data integration service in AWS. By the end of this Python book, you’ll be able to take your application development skills up a notch with AWS services and advance in your career.
Table of Contents (18 chapters)
Part 1: Python Installation and the Cloud
Part 2: A Deep Dive into AWS with Python
Part 3: Useful AWS Services to Implement Python

What is a NoSQL database?

A NoSQL database is used to store unstructured data. The idea comes from big data; most applications and devices create data, and this data is valuable if you store and process it afterward. The volume of data is increasing day by day, and we need to store this data. Think about new cars; they have different devices to store data. We can extend our example to white goods, social media, and so on. In general, relational databases are useful for structured data and a level of records that runs into the millions. Thus, when it comes to handling millions of records as well as unstructured data, NoSQL is useful.

The following figure shows how different data sources can be generated to be stored in a NoSQL database. We have social media resources and machines in cars and planes that generate different data formats:

Figure 10.1 – NoSQL

There are different types of NoSQL databases.

Key-value database

In this NoSQL database...