DynamoDB - Tables, Items, and Attributes Last Updated : 08 Oct, 2021 Comments Improve Suggest changes Like Article Like Report In DynamoDB the Tables, Items, and Attributes are among the core components, and we will be discussing them in detail in this article. Tables A table in DynamoDB is a collection of items. The key factors that make it unique are listed below: Dynamodb stores data in a table which is nothing but a collection of data.These tables have no schemaAn initial limit of 256 tables per region is applied.Items Items in DynamoDB are a collection of attributes which uniquely identify an item among all of the other items. The fundamental data element of DynamoDB. It uses Primary keys to identify every item in the table and the secondary indexes to allow more flexible querying.A table can have multiple or zero items.Attributes Attributes are the fundamental data element of DynamoDB. All items comprise one or more attributes. As being the fundamental data element attributes cannot be further broken down. Attributes in DynamoDB are similar in many ways to fields or columns in other database systems. Now let's look below for an example depicting a sample database of People: In the above example image, People table comprises of 3 items.Each item have 3 attributes namely, LastName, FirstName and Age.Each item has a primary key namely, PersonID. Notice the below points in the above diagram: Each item in the table has a unique identifier, or primary key, that distinguishes the item from all of the others in the table. In the People table, the primary key consists of one attribute (PersonID).Other than the primary key, the People table is schemaless, which means that neither the attributes nor their data types need to be defined beforehand. Each item can have its own distinct attributes.Most of the attributes are scalar, which means that they can have only one value. Strings and numbers are common examples of scalars. Comment More infoAdvertise with us Next Article Delete Table In DynamoDB R RajuKumar19 Follow Improve Article Tags : Python Computer Subject DynamoDB Practice Tags : python Similar Reads AWS DynamoDB - Working with Items & Attributes AWS DynamoDB is a NoSQL managed database that stores semi-structured data i.e. key-value and document data. It stores data in form of an item. An item consists of attributes. Upon table creation in DynamoDB, it only requires a primary key to differentiate between items and no schema is to be defined 3 min read Delete Table In DynamoDB DynamoDB allows users to create databases capable of storing and retrieving any amount of data and comes in handy while serving any amount of traffic. It dynamically manages each customerâs request and provides high performance by automatically distributing data and traffic over servers. It is a ful 4 min read Read An Item From A DynamoDB Table Reading an item from a Dynamo table is a vital operation in application development that allows you to work on data efficiently. We will explore how we can read items from the table using different methods used for different purposes. Amazon DynamoDB is a fully managed NoSQL database service that pr 5 min read How to Delete an Item in a DynamoDB Table? Amazon DynamoDB a fully managed NoSQL database service by Amazon Web Services (AWS), provides simple scalability and high performance for applications of any scale. Managing data in DynamoDB is important sometimes we need to delete specific items from a table to maintain data integrity or changes in 3 min read DynamoDB - Create Table Tables are the backbone of any Relational Database Management System. Tables are used to store data in an organized form so operation on the data and retrieval of data becomes seamless. The AWS DynamoDB provides both RDBMS and Non-relational databases. This article mainly focuses on the relational p 2 min read AWS DynamoDB - Query Data in a Table Amazon DynamoDB is a NoSQL managed database that stores semi-structured data i.e. key-value pair and document data. A table in DynamoDB stores data in form of an item and each item has a primary key. Example: { "Color": true, "Director": "Christopher Nolan", "MovieID": 1, "Name": "Inception", "Ratin 2 min read Like