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Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS). It is designed to offer highly scalable, reliable, and low-latency access to data. Unlike traditional relational databases, DynamoDB does not use tables, rows, and columns; instead, it employs a key-value store where data is organized as key-value pairs. This schema-less design allows for flexibility in how data is stored and accessed, making it suitable for a variety of applications and use cases ⁴.

DynamoDB is particularly known for its performance and scalability. It can handle large amounts of data and high request rates, making it an excellent choice for applications that require quick data retrieval and storage. Additionally, it integrates well with other AWS services, enhancing its capabilities for developers ³.

If you’re interested in working with DynamoDB using Python, the Boto3 module can be utilized to create tables, put items, query, scan, and delete tables, making it accessible for developers familiar with Python ⁴.

Introduction to AWS DynamoDB with Python

Python in Plain English

In plain English, DynamoDB is a NoSQL database, meaning that there are no relationships between tables, It is also a schema-less database, we add the data that we want into our table, in difference…

Fixing a Performance Anti-pattern With Amazon DynamoDB and Lessons Learned

Better Programming

I’ve recently been working on a personal project where I’ve decided to use and learn more about DynamoDB. While I’ve used Dynamo a bit for small things in the past, the majority of my past experience…...

AWS’s DynamoDB and How does it work?

Analytics Vidhya

In this blog, I will be exploring DynamoDB as a service, how does it work, and some important concepts to know before getting started with it.

Python meets DynamoDB

Python in Plain English

“How to create tables, put items, query, scan, and delete tables in AWS using Python” Here we are with another fun project for everyone to try. In this article, we will be using Python and the Boto3 m...

Parallel DynamoDB loading with Lambda

Analytics Vidhya

I recently read a very interesting blog post (linked below) that talked about a solution for loading large amounts of data into DynamoDB very quickly. Inspired by this, I thought “I’m going to build…

DynamoDB: 5 specific ways to supercharge your database design

Level Up Coding

Credit Digital Cloud Training So you’ve started working on your first serverless application, you know a thing or two about designing back-end applications but have worked with things like Express, or...

Bulk data ingestion from S3 into DynamoDB via AWS Lambda

Analytics Vidhya

Imagine we have a large database in excel or CSV format, and we are looking to bring it alive by loading it into DynamoDB. This article presents a streamlined approach to this problem by leveraging…

[System Design]-Amazon’s Dynamo DB Architecture

Javarevisited

Member-only story [System Design]-Amazon’s Dynamo DB Architecture Nishant Tanwar 🕉️ · Follow Published in Javarevisited · 10 min read · Just now -- Share This article discusses the Amazon’s Dynamo DB...

DynamoDB Library with NodeJS

Level Up Coding

The goal of this story is to show useful functions that can help you to solve common problems arising when dealing with DynamoDB by explaining the library that helped me in different projects and…

New Features in Amazon DynamoDB — PartiQL, Export to S3, Integration with Kinesis Data Streams

Analytics Vidhya

Every time with AWS re:Invent around, AWS releases many new features over a period of month. In this blog post I will touch on 3 new features which were introduced for Amazon DynamoDB. DynamoDB is a…

Performing Operations on a DynamoDB with Python

Python in Plain English

How to create tables, load data, perform operations, and query/scan tables in AWS DynamoDB by using Python and Boto3 library. Amazon DynamoDB (DDB) is a NoSQL, serverless database. This means it is a...

Elevating DynamoDB Operations in Python with PynamoDB

Python in Plain English

Navigating through the intricacies of AWS DynamoDB can be daunting, especially when you aim for code that’s both efficient and easy to maintain. This is where PynamoDB, a Pythonic ORM for DynamoDB, st...