AWS DynamoDB - Introduction to NoSQL Workbench Last Updated : 28 Mar, 2023 Comments Improve Suggest changes Like Article Like Report This article intends to introduce you to the basics of NoSQL Workbench. NoSQL is basically a nonrelational database, with numerous other extra advantages too. NoSQL Workbench is nothing but a virtual development as well as a testing environment for developers anywhere in the world. It allows its users to test their data models over a large number of aspects of functionality and it also allows us to develop our software right from the scratch with a lesser amount of effort. Basically, the workbench is an IDE platform that includes data modeling, data visualization, and operation building. Let us dive deep into these categories. Data Modeling: Workbench enables us with the facility to build new data models right from scratch or even by using existing data models. We can define multiple patterns clubbed together for accessing data present on the dataset.Data Visualization: As the name suggests, it basically refers to the process of writing queries and deriving the data by its medium, rather than coding everything bit by bit.Operation Building: Workbench is a strong and reliable platform for building applications, along with it has a great graphical user interface which eventually makes the communication between the database and the user easier. Now, let us go to the DynamoDB Management Console. Once you click on it, DynamoDB listed in services under "Database Section". You will be redirected to the DynamoDB Management Console. Please refer to the screenshot attached ahead. From here, you can create tables and use all the services issued by DynamoDB. This was a small and brief introduction to the NoSQL Workbench. In order to reduce the overall monthly bill amount of your AWS account, one should always ensure deleting all the services before logging out from your AWS Account. Comment More infoAdvertise with us Next Article AWS DynamoDB - Introduction to NoSQL Workbench R ritikapandey Follow Improve Article Tags : Amazon Web Services DevOps Cloud-Computing AWS Similar Reads AWS DynamoDB - Working with Indexes An index is a data structure that enables us to perform fast queries on different columns in a table. After creating an index, the database handles it for us. Whenever data is modified in the table, the index is automatically modified to reflect changes in the table. We can create and use a secondar 2 min read AWS DynamoDB - Working with Scans Amazon DynamoDB is NoSQL managed database that stores semi-structured data like key-value pairs and document data. When creating tables in DynamoDB, no schema structure is required but only a partition key (primary key) is required. DynamoDB tables stores data in form of items and each item consists 3 min read AWS DynamoDB - Working with Streams DynamoDB Streams is a DynamoDB feature that allows users to keep track of any changes made to the data in DynamoDB. It is an "ordered flow of data" that contains information about changes made to the data in the DynamoDB table. Let us talk of a use case. Consider a "users" table in DynamoDB and your 3 min read AWS DynamoDB - Working with Tables In this article, we will work on DynamoDB tables. DynamoDB is a NoSQL database that stores document data or key-value pairs. A Dynamodb table consists of items and each item is made up of attributes. Different items can have different attributes. See the below example: Example 1: { "MovieID": 123, " 3 min read Introduction about Node.js and MongoDB NoSQL databases are databases that store and retrieve the data that is present in a non-tabular format. Depending on the format of the data stored, NoSQL databases are split into 4 major types: Key-Value Graph database Document-oriented Column family These databases are built to address the shortcom 4 min read Like